Dr. Amit Kumar Yadav received his B.Tech in Electrical and Electronics Engineering in 2009 from United College of Engineering and Research Naini Allahabad Uttar Pradesh, India, M.Tech. in Power Systems in 2011, and Ph.D. in artificial neural network-based prediction of solar radiation for optimum sizing of photovoltaic systems for power generation in 2016, from the Centre for Energy and Environmental Engineering National Institute of Technology, Hamirpur, Himachal Pradesh, India. Currently, he is faculty in the Electrical and Electronics Engineering Department, National Institute of Technology, Sikkim, India. Dr. Yadav has authored numerous articles in international journals, 10 book chapters, and 12 IEEE conference publications, is an Editorial Board Member of the Turkish Journal of Forecasting, and acts as a reviewer for a number of journals. He received an award as “Best Researcher In Solar Photovoltaic Systems For Maximum Power Generation? in the Research Under Literal Access (RULA) International Awards in 2019. His research interests include Solar Photovoltaics, Engineering Optimization, Artificial Neural Network, Soft Computing, Wind Speed and Solar Radiation Prediction/Forecasting, Solar and Wind Resource Assessment, and Condition Monitoring of Photovoltaic Systems.
Télécharger le livre :  Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems

This book addresses a range of complex issues associated with condition monitoring (CM), fault diagnosis and detection (FDD) in smart buildings, wide area monitoring (WAM), wind energy conversion systems (WECSs), photovoltaic (PV) systems, structures, electrical...
Editeur : Springer
Parution : 2020-01-17
Collection : Advances in Intelligent Systems and Computing
Format(s) : PDF, ePub
94,94

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