Academic Positions

  • Present Apr-18

    Professor & Director,

    Office of Doctoral Studies, O.P. Jindal Global University, Sonipat,Haryana

  • April-18 Jan-16

    Professor & Vice Dean 

     Jindal Global Business School, O.P. Jindal Global University, Sonipat,Haryana

  • Dec-15 Jul-14

    Sr. Associate Professor & HOD of Decision Sciences

    University of Petroleum & Energy Studies (UPES) Dehradun

  • Jul-14 Jul-12

    Assistant Dean (Research) & Associate Professor

    University of Petroleum & Energy Studies (UPES) Dehradun

  • June-14 Jul-11

    Associate Professor

    University of Petroleum & Energy Studies (UPES) Dehradun

  • Jul-11 Aug-08

    Assistant Professor

    University of Petroleum & Energy Studies (UPES) Dehradun

  • Aug-08 Jun-05

    Assistant Professor

    Banasthali Vidhyapeeth University, Rajasthan

  • Jun-05 Aug-02

    Quality Controller & Statistician

    Alcobex Metals Limited India, Jodhpur,Rajasthan

Education & Training

  • Ph.D 2002-07

    Ph.D.(Statistics)

    Jai Narain Vyas University, Jodhpur, Rajasthan

  • M.B.A. 2004-06

    Masters of Business Administration

    Allahabad Agricultural Institute, Allahabad

  • M.Sc. 2000-02

    Master of Science (Statistics)

    Jai Naraian Vyas University, Jodhpur, Rajasthan

  • B.Sc 1997-2K

    Bachelor of Science

    Jai Narain Vyas University, Jodhpur,Rajasthan

  • EDP Feb'18-Jul'18

    Executive Development Program in “Data Science using R and Excel”

    Xavier School of Management (XLRI), Jamshedpur

  • MDP 2015

    Management Development Programme

    Indian Institute of Management, Raipur

  • MDP 2014

    Management Development Programme

    Indian Institute of Management, Kolkata

AWARDS & HONORS

  • 2018
    Best paperaward in 10th International Conference on Applied Energy held in Hong Kong, China.
  • 2015
    Appreciation certificate from The Editors of “Renewable and Sustainable Energy Reviews”, A highly reputed international Journal in the area of Renewable energy published by Elsevier, Amsterdam, Netherlands.
  • 2013
    Award for launching “UPES Management Review: An international Journal of core sectors”
  • 2013
    Dedicated service award from the side of University of Petroleum & energy Studies.  
  • 2010
    Award for meaningful participation as a statistics Expert for the project “Corporate Saffron’s” carried out by the Indian Institute of Technology, Roorkee (IIT-R), Department of Management Studies, 8th April, 2010.
  • 2010
    Award for Exemplary work in the area of Coordination and support given for the GD PI & Counseling for MBA students
  • 2008-2009
    Most Devoted Teacher Award for the year 2008-09, given by University of Petroleum & Energy Studies (UPES), Dehradun
  • 2009
    Cash Award for the Exemplary work in 8th HR Round Table Conference organized by the Indian School of Petroleum &energy (ISPe), New Delhi on August 27 & 28, 2009.
  • 2009
    Cash Award for meaningful contribution in research and development work at University of Petroleum & Energy Studies (UPES), Dehradun
  • 2008
    Awarded Meritorious Certificate from Red Cross Society of India
  • 2006
    Young Statistician Award, 2006

Selected Publications

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What Oils the Wheels of Electricity Theft: Perspective of Indian Discoms

Tanushree Sharma, Krishan K. Pandey (2019)
Conference Papers Proceedings of 11th International Conference on Applied Energy, Västerås, Sweden, Vol. 5, part 4. Paper ID:1042.

Abstract

Electricity thefts in connivance with employees of electricity distribution companies, remain the Achille’s heel of power sector, addressing which continue to be the holy grail. The lackluster performance of technological measures to curb electricity thefts highlights the need to investigate the human aspectstoo. That’s what this study aims at. The findings, grounded in the responses of the nineteen employees of the Indian electricity distribution companies, detail the factors that induce employees to collude with consumers in electricity theft.

Renewable Purchase Obligations (RPO) Mix Determination: A Case of West Bengal, India

T. Joji Rao, Krishan K. Pandey (2019)
Conference Papers Proceedings of 11th International Conference on Applied Energy, Vasteras, Sweden, Vol. 5 part 4, Paper ID: 1036.

Abstract

Electricity Supply Limited (SECL) has been the player involved both in generation and transmission of electricity. The study aims at forecasting annual electricity consumption of the company and suggest an optimal combination of renewable options namely wind, small hydro, solar photo voltaic, solar thermal and biomass to meet the RPO targets of subsequent 25 years. A linear regression model has been used for forecasting the consumption and RPO contributions whereas linear programming model has been used for determining the optimal combination of renewable sources under consideration over the segments of generation and short term power purchase agreements for meeting overall REC requirement from non-solar and solar sources. The study recommends for long term PPAs of 1 MW for wind, 30 MW of small hydro and 20MW of biomass instead of 1-year short term PPA and a need for promoting wind farms in the near future.

Effect of energy consumption & economic growth on environmental degradation in India: A time series modeling

Krishan K. Pandey,Harshil Rastogi (2019)
Conference Papers Elsevier, Energy Procedia, Volume 158, February 2019, Pages 4232-4237, Science Direct Elsevier.

Abstract

This study empirically investigates the impact of energy consumption (electricity consumption) and economic growth (in terms of real Gross Domestic Product) on the environmental degradation in form of CO2 emissions. The study aims to identify the interrelationship among the three variables viz. real GDP, electricity consumption & CO2 emissions. The analysis is based on the time series annual data for the period of 1971-2017. We tested the stationarity for the variables by applying Dicky Fuller test and examined the short run & long run causal relationships among electricity consumption, real GDP and CO2 emissions using Johansen Cointegration & Granger Causality approach. The Johansen cointegration test ascertains that some combinations of the two variables are cointegrated which concludes the long-term relationship among the defined variables. The results also indicate for a short run causality from electricity consumption to economic growth and to the CO2 emissions. The results conclude that India should take stringent measures to curb the surging emissions of greenhouse gases in which CO2 has a major portion.

Renewables, Shale Gas and Gas Import- Striking a Balance for India

B. S. Negi, K. K. Pandey , Neha Sehgal (2017)
Journal Paper Energy Procedia, Science Direct Elsevier, 105 (2017) 3720 – 3726.

Abstract

India's primary energy basket is heavily weight in favour of coal, oil and gas (92%) and balance 8% renewables, hydro and nuclear. The eco-friendly energy resources like natural gas and renewables (wind & solar) account only for 9% and 2%. The long term energy demand forecast also suggests contribution of coal, oil and gas to slide down to 87%. The Natural gas demand though on increase but the consumption is constrained due to limited domestic production and inadequacy of LNG import facilities. Considering the huge import bill on oil, gas and coal imports ($150 billion, Kelkar 2013) and the ever increasing concern for environment, the eco-friendly non-conventional resources as shale gas are getting preference. This paper examines the potential contribution from Shale Gas to meet the energy demand to fuel the economic growth of India.

Life cycle assessment of green diesel production from microalgae

Namita Pragya, Krishan K. Pandey (2016)
Journal Paper Renewable Energy, Elsevier volume 86, February 2016, Pages 623–632. (impact factor 5.257).

Abstract

Electricity theft is a growing problem worldwide. India, like many other developing countries, is in the grips of electricity theft. To address this challenge, the country introduced various technological solutions, which failed to realize their promised potential. Despite little success, majority of theft-combat interventions continue to emphasize technology and downplay psycho-social factors. The latter calls for deep exploration as power-utility employees have been found to connive with consumers in majority of electricity thefts. Though, employee theft has been explained by distinct perspectives like sociology, psychology, criminology, organizational science etc., none describes the phenomenon completely. In order to gain a holistic understanding, it is imperative to integrate the said perspectives. That's precisely what this paper attempts- It proposes an integrated conceptual framework of the psycho-social factors that predispose employees to collude with consumers in electricity theft.

Of Pilferers and Poachers: Combating electricity theft in India

Tanushree Sharma, K.K. Pandey, D.K. Punia, Joji Rao (2016)
Journal Paper Energy Research & Social Science, Elsevier, volume 11, Jan 2016, pp 40-52.

Abstract

Electricity theft is a growing problem worldwide. India, like many other developing countries, is in the grips of electricity theft. To address this challenge, the country introduced various technological solutions, which failed to realize their promised potential. Despite little success, majority of theft-combat interventions continue to emphasize technology and downplay psycho-social factors. The latter calls for deep exploration as power-utility employees have been found to connive with consumers in majority of electricity thefts. Though, employee theft has been explained by distinct perspectives like sociology, psychology, criminology, organizational science etc., none describes the phenomenon completely. In order to gain a holistic understanding, it is imperative to integrate the said perspectives. That's precisely what this paper attempts- It proposes an integrated conceptual framework of the psycho-social factors that predispose employees to collude with consumers in electricity theft.

Customer Engagement on Social Media: Understanding the Functional Perspectives of Social Media Towards Customer Engagement

Tomar M., Pandey Krishan K. & Punia D.K., (2016)
Journal Paper International Journal of Marketing and Human Resource Management, 7(3), 2016, pp. 60–63.

Abstract

Social media is the fastest growing area of interest among marketing academicians; however the focus is largely on uses, usage, tools and tactics than understanding where social media might fit in an integrated marketing communication mix with respect to customer engagement. This study aims at highlighting the functional perspectives of social media which contribute towards active customer engagement that benefit the companies in multiple ways. With the help of extensive literature review the study has given justifiable reasons to companies for adopting social media as one of supportive mediums along with traditional media to enrich customer engagement. The findings are of interest to marketers like to explore opportunities unfolded by social media with its functional benefit.

Artificial intelligence methods for oil price forecasting: a review and evaluation

Neha Sehgal, Krishan K. Pandey (2015)
Journal Paper Energy Systems, Springer, Pages 1-28 May, 2015

Abstract

Artificial intelligent methods are being extensively used for oil price forecasting as an alternate approach to conventional techniques. There has been a whole spectrum of artificial intelligent techniques to overcome the difficulties of complexity and irregularity in oil price series. The potential of AI as a design tool for oil price forecasting has been reviewed in this study. The following price forecasting techniques have been covered: (i) artificial neural network, (ii) support vector machine, (iii) wavelet, (iv) genetic algorithm, and (v) hybrid systems. In order to investigate the state of artificial intelligent models for oil price forecasting, thirty five research papers (published during 2001 to 2013) had been reviewed in form of table (for ease of comparison) based on the following parameters: (a) input variables, (b) input variables selection method, (c) data characteristics (d) forecasting accuracy and (e) model architecture. This review reveals procedure of AI methods used in complex oil price related studies. The review further extended above overview into discussions regarding specific shortcomings that are associated with feature selection for designing input vector, and then concluded with future insight on improving the current state-of-the-art technology.

The Drivers of Oil Prices– A MI3 Algorithm Approach

Neha Sehgal, Krishan K. Pandey (2015)
Journal Paper Elsevier, Energy Procedia, Volume 61, Pages 509-512 Jan, 2015

Abstract

The debate on significance of numerous political, economic and financial indicators driving crude oil prices is perpetual. There is no single indicator which can provide a complete picture of how prices can be determined. Nor a simple combination of input indicators can provide accurate and robust price forecast methods. In particular, feature selection plays a key role in designing a forecasting model for oil prices. However, all existing method of predicting oil prices have accounted for non-linearity, non-stationarity and time-varying structure of crude oil prices but seldom focus on selecting significant features with high predicting power. Besides, there is lack of competent feature selection techniques based on associations and dependency of indicators for designing the input vector of oil price forecast. For this purpose, a novel two-stage feature selection method “MI3Algorithm” is proposed for inferring non-linear dependence between oil prices and strategic indicators driving them by employing interaction information and mutual information as measure of redundancy(or synergy) and relevance. The study targets to figure out the importance and impacting mechanism of key indicators driving crude oil prices based on the proposed feature selection algorithm employing multi-layered perceptron neural network (MLP), general regression neural network (GRNN) and cascaded neural network (CNN) as forecasting engine for oil price prediction. The results confirmed the superiority of proposed algorithm compared to some other methods. Besides its high accuracy, the proposed algorithm provides non-redundant and most relevant features as compared to other methods employed in study.

Aftermath of 2008 financial crisis on oil prices

Neha Sehgal, Krishan K. Pandey (2015)
Conference Papers 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K),Volume: 01,Pages: 235 – 240, IEEE Conference Publications

Abstract

Geopolitical and economic events had strong impact on crude oil markets for over 40 years. Oil prices steadily rose for several years and in July 2008 stood at a record high of 145perbarrel.Further,itplungedto43 per barrel by end of 2008. There is need to identify appropriate features (factors) explaining the characteristics of oil markets during booming and downturn period. Feature selection can help in identifying the most informative and influential input variables before and after financial crisis. The study used an extended version of MI3 algorithm i.e. I2MI2 algorithm together with general regression neural network as forecasting engine to examine the explanatory power of selected features and their contribution in driving oil prices. The study used features selected from proposed methodology for one-month ahead and twelve-month ahead forecast horizon. The forecast from the proposed methodology outperformed in comparison to EIA's STEO estimates. Results shows that reserves and speculations were main players before the crisis and the overall mechanism was broken due to 2008 global financial crisis. The contribution of emerging economy (China) emerged as important variable in explaining the directions of oil prices. EPPI and CPI remain the building blocks before and after crisis while influence of Non-OECD consumption rises after the crisis.

Culture and Cyber Security

V. Ananda Kumar, Pandey Krishan K. & Punia, D.K. (2015)
Journal Paper Journal Indian Journal of Criminology & Criminalistics, National Institute of Criminology and Forensic Science under Ministry of Home Affairs, July-Dec 2015, No. 2, ISSN 0970-4345

Abstract

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A Study on critical issues existing between social media and brand engagement

Tomar M., Pandey Krishan K. & Punia Devendra K. (2015)
Journal Paper International Journal of Advance Research in Science and Engineering” special issue (02) Feb, 2015 pp 830-835. (Impact factor 1.142)

Purpose:

With relative changes happening in the area of brand engagement and changing perceptions about brand in the minds of consumers, it has become important for marketers to understand the reactions happening in the market. To understand this change reaction, a new tool called social media has been experienced and experimented by many marketers. Market has made companies witness a lot of activities getting executed everyday which are specific to brand. Circumstances become adverse when social platforms do not entertain brands getting marketed through them. In this review work, we shall get an insight of various challenges faced by marketers while establishing engagements between brands and consumers over social media platforms. Methodology: Secondary literature review on the available papers pertaining to brand engagements and social media has been done. Apart from this, certain articles and journals have been referred to make the work more useful. Findings: Even with the change of time consumers have only shown interests over sales campaigns and hence marketers have no choice left but to entertain existing customers over social media. Acquiring new customer is a far way ahead to be executed via social media. Practical Implications: Marketers have still not used social media, the way and in the manner it can provide opportunities for long term benefits. Their attraction towards social media has only made them look and aim at short term gains.

Revisiting Social Media Review of Various Perspectives for Modern Era Marketing

Tomar M., Sengupta A. Pandey Krishan K. & Punia D.K(2015)
Journal Paper International Journal of Advance Research in Science and Engineering (IJARSE), ISSN 2319-8354(E), Vol. 4, Special Issue No. 1, PP: 1661 - 1666.

Abstract

The purpose of this research is to see various perspectives of Social Media that shall give a meaning to companies to implement it in their marketing strategies. The study also highlights the roles that social media has to play in today’s dynamic landscape of Marketing. Rigorous literature review using existing literature, journals and articles has been done. The findings indicate that there are many logical reasons for marketers to incorporate Social Media in their IMC construct. The findings are of interest to academicians and marketers to understand significant reasons why Social Media is different from other marketing tools and also address the uniqueness of Social Media.

Evolution of Solar Energy in India: A review

Kapoor K, Pandey Krishan K., Jain A.K. & Nandan, A. (2014)
Journal Paper Renewable and sustainable energy reviews (RSER), Elsevier Volume 40, December 2014, Pages 475-487 (impact factor 11.239).

Abstract

India has tremendous potential for generating clean electricity through Renewable Energy Sources (RES) namely Hydro, Wind and Solar. This potential has been duly recognized and shows India׳s consciousness for reducing carbon footprint as a developing nation. Government of India with an aim to promote clean energy launched Jawaharlal Nehru National Solar Mission (JNNSM) on 11th January 2010, which is one of the eight missions under National Action Plan on Climate Change (NAPCC–2008). This mission visions to install 22,000 MW through grid connected and off grid power plants. Achieving an installed capacity of this quantum is a task full of challenges. To list the possible challenges and suggest a way forward, there is a need to study solar energy sector in India in the past, which has motivated the authors to discuss the evolution of solar energy in India since independence. Through this paper authors have tried to outline the journey of solar energy in India since 1950 till date and highlight the potential issues as barriers and challenges which could impact the ambitious mission taken up by Government of India.
This study will help decision makers and various stakeholders to understand the current status, barriers and challenges for better planning and management in the field of solar energy

A Framework for the Analysis of Sustainable Supply Chain Management: an Insight from Indian Rubber Industry

Bag, S., Anand . & Pandey, K. . (2014)
Journal Paper Journal of Supply Chain Management Systems (ISSN Number: 2277-1387),Vol.,3 Issue 1.
image

Abstract

Industrial operations could emit harmful pollutants and degrade natural environment, thereby posing a threat to human beings and wildlife (polar bears, panda, penguins, turtles, whales, walrus etc.). Globally manufacturers must ensure that the operations be done as safely and responsibly as possible keeping in line with the three dimensions of triple bottom line. We develop a framework which analyses the various complex relationships involved in a sustainable supply chain with the aid of interpretive structural modeling. The key factors influencing sustainable supply chain were identified based on a thorough literature review and in consultation with rubber industry experts. Further MICMAC analysis was applied to identify the autonomous, linkage, dependent and independent factors.

Waste to energy status in India: A short review

Kalyani, K. A. & Pandey, Krishan K. (2014)
Journal Paper Renewable and Sustainable Energy Reviews, Elsevier. Volume 31, March 2014, Pages 113-120 (impact factor 11.239).

Abstract

India is one of the most rapidly developing countries in the world. It is witnessing growing industrialization and thus development. Such rapid development needs energy to progress, which further makes India an energy hungry nation. Currently India depends mainly upon fossil fuels and thus has to pay a huge bill at the end of every contractual period. These bills can be shortened and the expenditures brought down by using and exploiting non-conventional sources of energy. India holds a huge potential for such non-conventional sources of energy. The rapid development of India is not just pressing hard upon its resources but forcing expenditures on the same. There are also some neglected side effects of this development process like, generation of waste. A population of 1.2 billion is generating 0.5 kg per person every day. This, sums up to a huge pile of waste, which is mostly landfilled in the most unhygienic manner possible. Such unmanaged waste not only eats up resources but demands expenditure as well. This can lead to the downfall of an economy and degradation of the nation.Thus, the paper presents waste to energy as a solution to both the problems stated above, using which not only can we reduce the amount of waste, but also produce energy from the same, thus achieving our goal of waste management as well as energy security. The paper presents the current status, major achievements and future aspects of waste to energy in India which will help decision makers, planners and bodies involved in the management of municipal solid waste understand the current status challenges and barriers of MSWM in India for further better planning and management.

Cyber Security threats in the Power Sector: Need for a domain specific regulatory framework in India

V. Ananda Kumar, Pandey Krishan K. & Punia, D.K. (2014)
Journal Paper Energy Policy, Volume 65, February 2014, Pages 126-133, Elsevier (impact factor 5.458)

Abstract

India is poised to spend over USD 5.8 billion as part of the National Smart Grid Mission aimed to alleviate India's ailing power sector as part of its 12th Five year plan (2012–2017). The federal government sponsored Restructured Accelerated Power Development and Reforms Program (R-APDRP) is also focused on building ICT capability in the state electricity boards. Presently however, there is no power sector specific cyber security mandates or policies in India. The Stuxnet, Shamoon and Anonymous incidents have shown that cyber-attacks can cause significant damage and pose a risk to National Critical Infrastructure. A lack of security planning as part of designing the Smart grids can potentially leave gaping holes in the country's power sector stability. The paper highlights key cyber security threats across the entire power sector value chain—from generation, to transmission and distribution. It is aimed at building the case for power sector specific cyber security regulations based on the experience of regulators in other critical infrastructure sectors like Banking and Telecom in India and power sector regulations internationally

Risk Analysis in operational stage small hydro power project a stochastic approach

Roy, N.C, Pandey K K , Gupta S. (2014)
Journal Paper International Journal of latest technology in Management, Engineering & Applied science, III (VIII)17.

Abstract

In this study valuation of operational phase investment related risks in small hydro power project in Uttarakhand state of India is considered. The foremost emphasis of this work is to examine the importance of studying various risk factors related to investment in operational small hydro power project-which is not a common investment practice performed in this particular area. Because of the stochastic nature of variables that compute NPV (net present value)/IRR (internal rate of return), BCR (Benefit cost ratio) it has some uncertainty which cause risk in investment decision. Such external variables are identified based on literature reviews, expert interviews and field survey as follows: capital cost, operational and maintenance, energy generation, environmental hazards, policy changes, social acceptance, etc. The relative importance of these factors are evaluated stochastically and ranked them accordingly. The greatest advantage of this method is that it has simplicity. When dealing with the risk analysis problems, the prevalence of method has been showed: easier and more useful.

Business Viability of off Grid Hybrid Biomass model over on Grid Solar Generation for RE in Developing countries

Mishra, L.K., Tiwari A. K.& Pandey, Krishan K (2014)
Journal PaperInternational Journal Of Engineering Sciences & Research Technology (IJESRT), 3(4): September, 2014, ISSN: 2277-9655,Scientific Journal Impact Factor: 3.449 , (ISRA), Impact Factor: 1.852

Abstract

This paper outline the business viability of Distributed or Stand-alone hybrid power system consisting of Biomass and Diesel versus Traditional Top down grid connected solar power generation. The environment considered in this paper is for RE. It emphasizes and recommends the use of localized renewable hybrid power generation system in order to ascertain a reliable and self-sufficient system. The localized renewable system also positively influences the macro economic conditions of area by way of optimization of the components size and the capital investment. The main power source of the energy system is considered as biomass generator and suitable supported by Diesel Generators. The NREL HOMER package is used for optimization realization. The Business viability of Stand-alone hybrid power system consisting of Biomass and Diesel versus Traditional Top down grid connected solar power is done on the basis of Net per unit revenue collected post factoring Transmission, distribution, billing and collection inefficiencies.

A Comparative Assessment Of Energy Management System And Strategies In Kanpur City Of Uttar Pradesh: A Bottom Up Distributed Generation Approach

Mishra, L.K., Tiwari A. K.& Pandey, Krishan K (2014)
Journal Paper International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324 (Print), ISSN 0976 - 6332 (Online) ,Volume 5, Issue 4, July-August (2014), pp. 32-47 , Journal Impact Factor (2014): 5.4271 (Calculated by GISI)

Abstract

In many developing countries, the electricity system is too weak to meet growing demand. The availability and reliability of generating capacity is also in short supply. Political interference, subsidized pricing, and corruption weaken the ability of developing countries like India electricity supply system, to finance and deliver service or attract new private investment. Electricity theft can be in various forms of frauds like meter tampering, stealing with illegal connections, billing irregularities, and unpaid bills. This work deals with power economics, policy, regulations and reforms. Random sampling with personal interviews was to be done for primary data collection from domestic users, industrial users, media and power distribution agencies. One more survey for Technology Feasibility of power system has to be done with personal interviews from generation, transmission and distribution units of Electricity system in Kanpur city. A comparative analysis to compare investment in DG versus a large-scale generator in the presence of uncertain demand growth has to be done. Net Present Cost, Cost of Energy, Break even Grid Distance are the three most important output variables of the analysis. The survey data shows that a huge amount of improvement needs in Energy system. This electricity system can be improved by applying technical solutions such as tamper-proof meters, various managerial methods such as inspection and monitoring of distribution system, and in some cases restructuring power systems ownership and regulation.

Facing the Reality Of Cyber Threats In The Power Sector

V. Ananda Kumar, Pandey Krishan K. & Punia, D.K. (2013)
Conferece Paper White Paper published by Wipro Ltd.

Abstract

There has been a surge in the spending in the Power sector in India with an estimated spend of USD 5.8 billion as part of the National Smart Grid Mission with the key objective of turning around India’s ailing Power sector. The focus is also on driving ICT capability with the federal government specially setting up the R-APDRP (Restructured Accelerated Power Development and Reforms Program) to bring about rapid development and modernization of the State Electricity Boards in India. But the most pressing issue right now is the huge threats that cyber attacks pose for the Power sector; and there are currently no specific cyber security mandates or policies in India to thwart the eminent danger looming ahead. Designing Smart Grids without a proper security plan in place can lead to a crisis situation and result in weakening the country’s Power sector stability. The paper highlights key cyber security threats across the entire Power sector value chain. It is aimed at building the case for the Power sector specific cyber security regulations based on the experience of regulators in other critical infrastructure sectors like Banking and Telecom in India and Power sector regulations globally.

Risk Management in General Insurance Business in India

Rao, T.J. & Pandey, Krishan K. (2013)
Journal Paper The IUP Journal of Financial Risk Management, Vol. 10 No. 3, pp.62–82.

Abstract

Over the years the general insurance companies have been undertaking extensive risk management activities to safe guard the investor as well as investment. In the present day scenario the two aspects which are of great importance to the general insurance industry are firstly the opportunities in the Indian general insurance market and the resulting focus of players on achieving business growth and secondly the ongoing process of calibrated de-tariffing. Though de-tariffing has provided players with significant opportunities in tapping markets and in coming times may result into providing even more opportunities, it has placed the onus of correct pricing on the players themselves. This has resulted in players preparing and emphasizing more on identifying risk parameters and pricing products based on risks. The players under the immediate response to the pressure of a free market scenario, has dropped the rates even in hitherto non-profitable businesses. An efficient risk assessment and management in general insurance industry lays great emphasis due to entry of private players, corresponding policy changes and the present day fact of unprofitable books, erosion of capital resulting from unmanageable claim ratios.

A Study on Factors Influencing Claims in General Insurance Business in India

Rao, T.J. & Pandey, Krishan K. (2013)
Journal Paper Journal of Risk Finance, Volume 22, Issue 2, April 2010, Pages 191-194

Purpose

A fact that the grievance redressal complaints of general insurance claims are three times as that of life insurance claims endorses the requirement of a retrospection of claims behaviour of the general insurers in order to minimize the operating losses and ensure operational excellence. Approach: Study of variance and factor analysis has been undertaken for achieving the objective of identifying the factors which govern the claims in general insurance business. In order to understand the dependency of claims over the sectors and segments, statistical hypothesis testing along with cross tab analysis has been conducted. The study also evaluates the relationship of these factors over the sectors and segments by running a multiple regression. Findings: An empirical result of the study proves that there exists an association between the type of sectors i.e. public & private and segments of insurance namely fire, marine and miscellaneous. The study also suggests a claim projection model for the general insurance players. Research limitations: Exclusion of specialized players due to the reason being new entrants and in order to maintain the common parlance of sectors may be a limitation to the study. Value: The study recommends that the insurance players should not treat the claims settlement strategies in isolation of segments. The claims projection model as suggested in the study may prove to be extremely helpful in projecting the claims and in turn reduce the increasing underwriting losses.

A review on harvesting, oil extraction and biofuels production technologies from microalgae

Namita, P., Pandey, K.K. & Sahoo, P.K. (2013)
Journal Paper Renewable and Sustainable Energy Reviews, vol. 24, pp. 159–171, Elsevier. (impact factor 11.239)

Abstract

Microalgae are receiving increasing attention worldwide as an alternative and renewable source for energy production. Through various conversion processes, microalgae can be used to produce many different kinds of biofuels, which include biodiesel, bio-syngas, bio-oil, bio-ethanol, and bio-hydrogen. However, large scale production of microalgal biofuels, via many available conversion techniques, faces a number of technical challenges which have made the current growth and development of the algal biofuel industry economically unviable. Therefore, in addition to algae culture and growth, it is also essential to develop cost-effective technologies for efficient biomass harvesting, lipid extraction and biofuels production. This review aims to collate and present an overview of current harvesting, oil extraction and biofuels production technologies from microalgae. Since much of the current studies on oil extraction are focused on biodiesel production from microalga, this study, apart from discussing the various biodiesel production techniques in the later sections, has also done a detailed discussion on the production techniques of other biofuels.

Synthetic estimators using auxiliary information in small domains

P. K. Rai & K. K. Pandey (2013)
Journal Paper Statistics In Transition-new series, Spring 2013, Vol. 14, No. 1, pp. 31–44

Abstract

In the present article we discuss the generalized class of synthetic estimators for estimating the population mean of small domains under the information of two auxiliary variables, and describe the special cases under the different values of the constant beta involved in the proposed generalized class of synthetic estimator. In addition we have taken a numerical illustration for the two auxiliary variables and compared the result for the synthetic ratio estimator under single and two auxiliary variables.

Handoff Management for Integrated Wireless Mobile Networks

Pandey, Krishan K., Vyas Y. & Pandey, R.K. (2012)
Journal Paper International Journal of Mobile Communication & Networking, Volume 3, Number 1, pp. 1-15, ISSN 2231-1203.

Abstract

One of the key challenges in integrated wireless and mobile networks is to efficiently support multi-class services as each type of services has distinct characteristics and quality of service (QoS) requirements. Problems in handoff algorithm or its parameters may lead into call drops with a direct effect on user satisfaction. This is particularly critical for 3G systems, where high data rate users will be prime candidates for being dropped. Unnecessary handoff leads to degraded call quality and waste of capacity in signaling. Since the cell-size is constantly decreasing, therefore it is important to devise a handoff algorithm which identify users with different mobility and data rate characteristics and maximize the utilization of network infrastructure. A Multiple Queuing System for handoff in integrated real-time and non-real time service with priority reservation and preemptive priority handoff scheme is being analyzed which categorizes the service calls into four different types, namely, real time and non-real time service originating calls, and real-time and non-real-time handoff request calls and divide the channels among these four types of services according to their priorities. The system is modeled using a multidimensional Markov chain and a numerical analysis is presented to estimate blocking probabilities of originating calls, forced termination probability, and average transmission delay. Our results show that the predictions of the analytical model are in very good agreement with simulation results. Scheme significantly reduces the forced termination probability of real-time service calls. The probability of packet loss of non real-time transmission is shown to be negligibly small, as a non-real-time service handoff request in waiting can be transferred from the queue of the current base station to another one.

Life cycle assessment of small-scale high-input Jatropha biodiesel production in India

Pandey, Krishan K., Pragya, N. & Sahoo, P.K. (2011)
Journal Paper Applied Energy, Elsevier, Vol. 88, issue 12, pp. 4831-4839(impact factor 8.558)

Abstract

In the current scenario of depleting energy resources, increasing food insecurity and global warming, Jatropha has emerged as a promising energy crop for India. The aim of this study is to examine the life cycle energy balance for Jatropha biodiesel production and greenhouse gas emissions from post-energy use and end combustion of biodiesel, over a period of 5 years. It’s a case specific study for a small scale, high input Jatropha biodiesel system. Most of the existing studies have considered low input Jatropha biodiesel system and have used NEB (Net energy balance i.e. difference of energy output and energy input) and NER (Net energy ratio i.e. ratio of energy output to energy input) as indicators for estimating the viability of the systems. Although, many of them have shown these indicators to be positive, yet the values are very less. The results of this study, when compared with two previous studies of Jatropha, show that the values for these indicators can be increased to a much greater extent, if we use a high input Jatropha biodiesel system. Further, when compared to a study done on palm oil and Coconut oil, it was found even if the NEB and NER of biodiesel from Jatropha were lesser in comparison to those of Palm oil and Coconut oil, yet, when energy content of the co-products were also considered, Jatropha had the highest value for both the indicators in comparison to the rest two.

Effect of Change of Major Health Determinants on Health Status through Change of Health Indicators in the Society

Pandey, Krishan K. & Rai, P.K. (2011)
Journal Paper Journal of Economics and Commerce, Varanasi, vol. 2, No. 01, pp. 18-25. ISSN No. 0976-9528.

Abstract

There are several indicators and determinants of health status in the systems that affected the behavior of the population regarding their good health as well as the development. In this article we make use of three health indicators namely crude birth rate, crude death rate and infant mortality rate and four determinants namely per capita income, number of government hospitals, government expenditure on health as a percentage of total government expenditure. We demonstrate the major trends in the determinants and the indicators of health status in India during the time period of three consecutive censuses from year, 1981-2001. Further using multiple regressions and model fitting we also estimate the effect of determinants of health on the indicators of health status in the society which are the main responsible aspect of development of a nation.

“Hedging Effectiveness of Index Futures Contract: The Case of S & P CNX Nifty

Sah, A.N. & Pandey, Krishan K. (2011)
Journal Paper Global Journal of Finance and Management, Volume 3, Number 1, pp. 77-89

Abstract

Futures market performs an important function which is to provide effective hedging besides price discovery at distant future date to the market participants. The hedging effectiveness of the futures contract shows its utility in reducing the amount of risk. We estimated the effective hedge ratio and its hedging effectiveness for the S&P CNX Nifty futures using daily data from 12 June 2000 to 24 December 2008 by three models. The study found that Nifty futures contract provides effective hedging to the market players for hedging purpose.

The Generalized class of composite method of estimation for crop acreage in small domain

Pandey, Krishan K. & Tikkiwal, G.C. (2010)
Journal Paper International Journal of Statistics and Systems, Vol. 5, No. 3, pp. 319-333.

Abstract

This paper defines and discusses a generalized class of composite estimators for small domains, using auxiliary information, under systematic sampling scheme. The generalized class of composite estimators, among others, includes a number of direct, synthetic and composite estimators. Further, it demonstrates the use of the estimators belonging to the generalized class for estimating crop acreage for small domains and also compares their relative performance with the corresponding direct and synthetic estimators, through a simulation study.

Generalized class of synthetic estimators for small area under systematic sampling design

Pandey, Krishan K. & Tikkiwal, G.C. (2010)
Journal Paper Statistics in Transition- New Series, Poland, Vol.11 No.1, pp. 75-89.

Abstract

This paper defines and discusses a generalized class of synthetic estimators for small domain, using auxiliary information, under systematic sampling scheme. The generalized class of synthetic estimators, among others, includes the simple, ratio and product synthetic estimators. Further, it demonstrates the use of the generalized synthetic and ratio synthetic estimators for estimating crop acreage for small domain and also compares their relative performance with direct estimators, empirically, through a simulation study.

On synthetic and composite estimators for small area estimation under Lahiri- Midzuno sampling scheme

Tikkiwal, G.C. & Pandey, K.K. (2007)
Journal Paper Statistics in Transition- New Series, Poland , Vol. 8, No. 1, pp. 111-123.

Abstract

This paper studies performance of synthetic ratio estimator and composite estimator, which is a weighted sum of direct and synthetic ratio estimators, under Lahiri – Midzuno (L-M) sampling scheme. Both the estimators under L-M scheme are unbiased and consistent if the assumption of synthetic estimator is satisfied. Further, this paper compares performance of the estimators empirically under L-M and SRSWOR schemes for estimating crop acreage for small domains. The study suggests that both the estimators under L-M scheme perform better than, under SRSWOR scheme, as having smaller absolute relative biases and relative standard errors.

Supply Chain Management Model for Sustainable Manufacturing Practices

Krishan K. Pandey & Surajit Bag, Neeraj Anand
Book Chapter Book Chapter Published by IGI global Green | 2016 | DOI: 10.4018/978-1-5225-0635-5.ch006

Abtract

The purpose of this chapter is to identify the dimensions of green supply chain and their impact on manufacturing practices. In this study, the authors used two extended strategies. First thorough review of literature was done considering articles from reputed journals. Second the factors identified from literature review was further refined through experts by forming a problem solving group consisting of seven experts from the manufacturing sector. These factors were used to develop the green supply chain management model using Interpretive structural modeling. Further MICMAC analysis was used to identify the driving and dependence power of the factors. The results of the analysis are very encouraging. Finally, the authors have presented the relationship management strategy for sustainable manufacturing practices.

Handoff Management for Integrated Wireless Mobile Networks: An overview of Preemptive and Priority Reservation Handoff Scheme

Krishan K. Pandey
Book Book published by VDM Verlag Dr. Muller GmbH & Co. KG, Germany (2010) (ISBN: 978-3-639-33521-7)

Abtract

...

Aspects of small area estimation using auxiliary information

Krishan K. Pandey
Book Book published by VDM Verlag Dr. Muller GmbH & Co. KG, Germany (2010) (ISBN: 978-3-639-31569-1)

Abtract

...

Curent Teaching
Teaching History
Predictive Data Mining with Excel & R
Data Visualization with Tableau
Quantitative Research Methods
Data Science Methodolog
Predictive Modelling
Marketing Research
Sample survey
Applied statistics with SPSS
Statistics for physical education
Advance Sample Survey & Demography
Statistical Inference
Multivariate Statistics
Research Methodology
Quantitative techniques
Data Mining

RESEARCH GUIDENCE

S. No.
Name of Scholar
Thesis Title
Status
1 Namita Pragya, Consultant ICRAFProduction of Green diesel from Jatropha & Algae Degree Awarded
2 Neha Mehra, (Head of Data Science at Valuechain Enterprises Ltd. U.K.) The Drivers Of Oil Prices: A Data Mining Approach Degree Awarded
3 Karan Kapoor,(Brunswick East, Victoria, Australia) Barriers & Challenges faced by the Solar PV (grid-connected) Power plant in India Degree Awarded
4 Neha Chhabra Roy, Alliance University, Bangalore Risk identification and Assessment for investment decision making in small Hydropower projects of Uttarakhand Degree Awarded
5 Tanushree Sharma, (Associate Professor & Assistant Dean, O.P Jindal Global University) Workplace factors predisposing employees to connive with customers in electricity theft in the Indian power distribution sector. Degree Awarded
6 Anand V. Kumar, (Director, Managed Security Services at IBM • Greater Atlanta Area) Cybersecurity threats in the power sector: Need for a domain-specific regulatory framework in India Degree Awarded
7 Meenakshi Tomar, (O.P. Jindal Global University, Sonipat, Haryana) Use of Social Media as a tool for Marketing Communication by Automotive Lubricant Companies in India Degree Awarded
8 B.S. Negi, Former PNGRB Member Factors Influencing Shale Gas Exploration & Exploitation In India Degree Awarded
9 Surajit Bag, Sr. Officer-Procurement, Tega Industries Ltd, Kolkata, West Bengal. Developing A Green Supply Chain Management Model For The Indian Rubber Goods Manufacturing Sector Degree Awarded
10 Lov Kumar Mishra, Regional CTO, Nigeria, Globacom The Bottom-Up Distributed Generation for Uttar Pradesh, India Degree Awarded
11 Ganesh Vishwakarma, Director of project & Business planning, Steel Authority of India. Identifying project risk factors affecting project cost performance in the steel industry: An Indian perspective Degree Awarded
12 Ayush Gupta, (CGM, HR) GAIL (India) Limited. Strategic Drivers for Growth of Natural Gas Sector in India by 2030 Working on Thesis
S. No.
Material Title
Download
1   ANOVA_EDX
2   ANOVA_Krishan
3   Association of Attributes
4   Binary Logistic Regression_krishan
5   Binomial_Poission & Normal Distribution_krishan
6   Chi Square test_EDX
7   Chi Square Test_Krishan
8   Citation-Guide
9   Correlation_and_Regression
10   Describing Distributions_EDX
11   Determining Sample Size
12   Exponential Model_EDX
13   Factor_analysis_Krishan
14   Guidelines for Questionnaire
15   Hand out on Validity
16   How to look at Data_EDX
17   Hypothesis Test and Confidence Interval Formulast
18   Hypothesis Testing_EDX
19   Introduction to data_EDX
20   Introduction_to_time_series_analysis_Krishan
21   Levels of Measurement
22   LikertScaleExamplesforSurveys
23   Linear models_EDX
24   Logistic Regression
25   Measurement_and_scaling
26   Monte-Carlo-Simulation
27   Multiple Regression_Krishan
28   Normal Distribution_EDX
29   Paired T Test on SPSS
30   Probability Distrubution_Krishan
31   Probability
32   Relationships Between Categorical Variables_EDX
33   Relationships Between Quantitative Variables_EDX
34   Sample-scales
35   Sampling & Sampling Distribution
36   Sampling Distribution and Estimation_EDX
37   Sampling_krishan
38   SPSS_ how to do file_krishan
39   SPSS_DescriptiveInferential
40   Str_of_synopsis _Krishan Pandey
41   Surver,Content, Impact Analysis, Evaluation & Audience research
42   Testing of Hypothesis for population mean_Krishan
43   Testing of hypothesis_Krishan
44   Testing of Hypothesis-for-Dependent-and-Independent-Samples
45   Time Series and Forecasting
46   Two Sample t test_EDX
47   Ztest

At My Residence

You can find me at my Residence located in Tulip Grand, Near O.P.Jindal Global University, Sonipat, Haryana.

I am at my Residence every day from 7:00 until 10:00 am and After 6:00 pm to 9:00 pm, but you may consider a call to fix an appointment.

At My Work / Office

You can find me at my office located at Office of Doctoral Studies, A-335, T1 block, 4th floor, O.P. Jindal Global University, Sonipat, Haryana.

I am at my office every day from 10:00 until 06:00 pm, but you may consider a call to fix an appointment.