000			02681nam a22002897a 4500
008			240111s2023 |||||||| |||| 00| 0 eng d
020			_a9781032054414
022			_l9781032054414
041			_aeng
082			_a621.31244028563 _bKUM
100			_aKumar, Bhavnesh _9879279 _eED
245			_aArtificial Intelligence for Solar Photovoltaic Systems Approaches Methodologies and Technologies
260			_aBoca Raton, FL : _bCRC Press, _cc2023
300			_axviii, 290 p. _b: ill
490			_aExplainable AI XAI for Egineering Applications
500			_aEDITORS Bhavnesh Kumar is an Assistant Professor in the area of power electronics & drives at the Division of Instrumentation & Control Engineering, NSIT Delhi. Bhanu Pratap is working as an Assistant Professor in the Department of Electrical Engineering, National Institute of Technology Kurukshetra, India. Vivek Shrivastava presently is the Dean (Research & Consultancy) at the National Institute of Technology Delhi.
504			_aYY
520			_aSUMMARY This book provides a clear explanation of how to apply artificial intelligence (AI) to solve the challenges in solar photovoltaic technology. It introduces readers to new AI-based approaches and technologies that help manage and operate solar photovoltaic systems effectively. It also motivates readers to find new AI-based solutions for these challenges by providing a comprehensive collection of findings on AI techniques. It covers important topics including solar irradiance variability, solar power forecasting, solar irradiance forecasting, maximum power point tracking, hybrid algorithms, swarm optimization, evolutionary optimization, sensor-based sun- tracking systems, single-axis and dual-axis sun-tracking systems, smart metering, frequency regulation using AI, emerging multilevel inverter topologies, and voltage and reactive power control using AI. This book is useful for senior undergraduate students, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and renewable energy.
650		0	_9151655 _aArtificial Intelligence
650		0	_917772 _aPhotovoltaic Power Generation
650		0	_9879868 _aPhotovoltaic Power System Automatic Control
700			_eED _aPratap, Bhanu _9689769
700			_eED _aShrivastava, Vivek _9879869
856			_yTOC _uhttps://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781032054414.pdf
856			_yWEB LINK _uhttps://www.routledge.com/Artificial-Intelligence-for-Solar-Photovoltaic-Systems-Approaches-Methodologies/Kumar-Pratap-Shrivastava/p/book/9781032054414#
942			_2ddc _cBOO
999			_c814466 _d814466