Best Researcher Award
Shiv Prakash Bihari
Raj Kumar Goel Institute of Technology, India
Shiv Prakash Bihari is an academic researcher whose work focuses on renewable energy systems, photovoltaic technologies, intelligent control systems, and hybrid power generation. His published studies emphasize improving the efficiency, stability, and reliability of grid-connected renewable energy systems through advanced optimization techniques and intelligent controllers. His interdisciplinary research combines electrical engineering, power electronics, artificial intelligence, and sustainable energy technologies, contributing to practical solutions for modern energy infrastructures.[1]
Abstract
The research portfolio of Shiv Prakash Bihari demonstrates sustained interest in renewable energy integration and intelligent electrical power systems. His investigations address challenges related to photovoltaic generation, hybrid renewable energy configurations, fuzzy logic control, and advanced inverter technologies. These studies contribute to improving energy efficiency and grid compatibility while supporting sustainable electricity production. His publications reflect practical engineering applications supported by computational optimization methods and intelligent control strategies.[2]
Keywords
Renewable Energy, Photovoltaic Systems, Grid Integration, Hybrid Energy Systems, Fuzzy Logic, Artificial Intelligence, Power Electronics, Smart Grid, Intelligent Controllers, Sustainable Energy.
Introduction
Renewable energy technologies require efficient control mechanisms to maximize power generation while maintaining grid stability. Intelligent algorithms, including adaptive and fuzzy logic techniques, have become essential tools for optimizing renewable power systems. Shiv Prakash Bihari has contributed to this research domain by investigating advanced inverter architectures and hybrid renewable energy models designed to improve system performance under varying environmental conditions.[1]
Research Profile
His research interests include photovoltaic energy conversion, intelligent maximum power point tracking, grid-connected renewable energy systems, hybrid wind-solar generation, electrical power optimization, and artificial intelligence applications in energy engineering. His publications demonstrate integration of theoretical modeling with engineering implementation to improve renewable energy utilization across modern electrical networks.[2]
Research Contributions
- Developed intelligent EANFIS-controlled inverter models for grid-connected photovoltaic systems.
- Investigated fuzzy logic maximum power point tracking techniques for photovoltaic-wind hybrid systems.
- Contributed to renewable energy optimization through advanced power electronics and intelligent control methodologies.
Publications
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- Design Analysis of High Level Inverter with EANFIS Controller for Grid Connected PV System (2020). DOI:
10.1007/s10470-019-01578-9
- Design and Implementation of a Photovoltaic Wind Hybrid System with Assessment of Fuzzy Logic Maximum Power Point Technique (2019).
Research Impact
Shiv Prakash Bihari’s research advances renewable energy engineering through intelligent power electronic converters, hybrid renewable energy systems, and optimized grid-connected photovoltaic technologies. His work applies adaptive control, fuzzy logic, and neuro-fuzzy techniques to enhance power quality and efficiency. With 186 citations and an h-index of 6, his contributions support sustainable energy and smart-grid innovation.[1]
Award Suitability
Shiv Prakash Bihari’s research integrates computational intelligence, optimization, and adaptive control into renewable energy engineering. His work enhances distributed energy systems through data-driven methodologies relevant to complex engineering networks and smart-grid infrastructure. These interdisciplinary contributions demonstrate innovation, practical impact, and the application of advanced computational techniques across modern engineering disciplines.[3]
Conclusion
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