Satyendra
Singh

Satyendra Singh received his Bachelor’s degree in Electrical Engineering from the Govt. Engineering College Bikaner (Rajasthan) in 2008 and M. Tech. degree in Electrical Engineering (Power Systems) from the National Institute of Technology (NIT), Hamirpur in 2011. He is an engineering and skill educational professional with over 11 years of experience in industry, administration, teaching and research in the Electrical domain. He holds a PhD in Electrical Engineering and published his research findings in reputed SCI/SCOPUS Indexed Journals, in reputed International and National conferences, SCOPUS Indexed book chapters and one Indian patent. He was awarded “BEST RESEARCHER’S AWARD 2020” by the Institute of Scientific Research Foundation, Jaipur and “Most Innovative Scientific Research Award” by South Asia Management Association, Singapore. Moreover, he has delivered various expert talks in FDP, STTP, Workshops, etc., as a resource person. He has also been a recorded reviewer for many SCI Indexed journals namely IET Generation Transmission and Distribution, Journal of Cleaner Production, Electric Power Systems Research, International Transactions on Electrical Energy Systems, Mathematical Problems in Engineering Hindawi. Renewable Energy Moreover, he has served as Key Note Speaker, Session Chair and Co-Chair in the most prestigious and renowned National and International conferences.

His research is in different segments of power systems engineering which includes Electricity Market, Renewable Energy Modeling, FACTs, Power System Economics, Power System Optimization, Nature Inspired Algorithms, AI Techniques, Machine Learning Algorithms and optimum power flow solutions, to list a few.

1.“Optimal bidding strategy with inclusion of wind power supplier in an emerging power market,” IET Generation, Transmission & Distribution, Vol. 13 (10), pp 1914-1922, 2019, DOI: 10.1049/iet-gtd.2019.0118

2.“Double-sided bidding strategy for power suppliers and large buyers with amalgamation of wind and solar based generation in a modern energy market,” IET Generation, Transmission & Distribution, Vol. 14 (6), pp 1031-1041, 2020, DOI: 10.1049/iet-gtd.2019.0570.

3. “Bidding strategy for generators considering ramp rates in a day-ahead electricity market,” Turkish Journal of Electrical Engineering & Computer Sciences, Vol. 27, pp 3868-3882, 2019, DOI: 10.3906/elk-1805-73.

4. “ Strategic bidding in the presence of renewable sources for optimizing the profit of the power suppliers,” IEEE Access doi: 10.1109/ACCESS.2021.3078288.

5. “Influence of wind power on modeling of bidding strategy in a promising power market with a modified gravitational search algorithm,” Applied Sciences, MDPI 11, no. 10: 4438, https://doi.org/10.3390/app11104438.

6. “Impacts of renewable sources of energy on bid modeling strategy in an emerging electricity market using oppositional gravitational search algorithm,” Energies 2021, 14, 5726. https://doi.org/10.3390/en14185726

7. “6D-chaotic System and 2D Fractional Discrete Cosine Transform based Encryption of Biometric Templates,” IEEE Access, doi: 10.1109/ACCESS.2021.3097881.

8. "An Optimal Higher Order Likelihood Distribution based Approach for Strong Edge and High Contrast Restoration," IEEE Access, doi: 10.1109/ACCESS.2021.3101413.

9. “Likelihood Estimation and Wavelet Transformation based Optimization for Minimization of Noisy Pixels,” IEEE Access, doi: 10.1109/ACCESS.2021.3113857.

10. “Fast Access Container for Health Care Management Applications on Hadoop Cluster: Hash Based Extended Hadoop Archive,” IEEE Access, vol. 10, pp. 36856-36867, 2022, doi: 10.1109/ACCESS.2022.3163433.