Harmonic Current Estimation of a Non-linear Load Using Artificial Neural Network
The non-linear loads are increasing day by day. In many applications, the power electronic converters are used which are non-linear loads (NLLs). These loads drawn on-sinusoidal current waveform. The active harmonic power filters are employed to mitigate
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B. Vinoth Kumar P. Sivakumar M. M. Rajan Singaravel K. Vijayakumar Editors
Intelligent Paradigms for Smart Grid and Renewable Energy Systems
Algorithms for Intelligent Systems Series Editors Jagdish Chand Bansal, Department of Mathematics, South Asian University, New Delhi, Delhi, India Kusum Deep, Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India Atulya K. Nagar, School of Mathematics, Computer Science and Engineering, Liverpool Hope University, Liverpool, UK
This book series publishes research on the analysis and development of algorithms for intelligent systems with their applications to various real world problems. It covers research related to autonomous agents, multi-agent systems, behavioral modeling, reinforcement learning, game theory, mechanism design, machine learning, meta-heuristic search, optimization, planning and scheduling, artificial neural networks, evolutionary computation, swarm intelligence and other algorithms for intelligent systems. The book series includes recent advancements, modification and applications of the artificial neural networks, evolutionary computation, swarm intelligence, artificial immune systems, fuzzy system, autonomous and multi agent systems, machine learning and other intelligent systems related areas. The material will be beneficial for the graduate students, post-graduate students as well as the researchers who want a broader view of advances in algorithms for intelligent systems. The contents will also be useful to the researchers from other fields who have no knowledge of the power of intelligent systems, e.g. the researchers in the field of bioinformatics, biochemists, mechanical and chemical engineers, economists, musicians and medical practitioners. The series publishes monographs, edited volumes, advanced textbooks and selected proceedings.
More information about this series at http://www.springer.com/series/16171
B. Vinoth Kumar P. Sivakumar M. M. Rajan Singaravel K. Vijayakumar •
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Editors
Intelligent Paradigms for Smart Grid and Renewable Energy Systems
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Editors B. Vinoth Kumar Department of Information Technology PSG College of Technology Coimbatore, Tamil Nadu, India M. M. Rajan Singaravel Department of Electrical and Electronics Engineering National Institute of Technology Puducherry Karaikal, Puducherry, India
P. Sivakumar Department of Electrical and Electronics Engineering PSG College of Technology Coimbatore, Tamil Nadu, India K. Vijayakumar Department of Electronics and Communication Engineering Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram Chennai, Tamil Nadu, India
ISSN 2524-7565 ISSN 2524-7573 (electronic) Algorithms for Intelligent Systems ISBN 978-981-15-9967-5 ISBN 978-981-15-9968-2 (eBook) https://doi.org/10.1007/978-981-15-9968-2 © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whet
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