MATLAB-Based Comparative Analysis of Alternative PV Models
The comparative simulation of different models of Photovoltaic (PV) array operating at maximum power point to transfer power to constant a load through boost converter has been done in this paper. The models have been developed by (i) mathematical equatio
- PDF / 36,691,013 Bytes
- 463 Pages / 453.543 x 683.15 pts Page_size
- 31 Downloads / 210 Views
Mohammad Shorif Uddin Avdhesh Sharma Kusum Lata Agarwal Mukesh Saraswat Editors
Intelligent Energy Management Technologies ICAEM 2019
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
Mohammad Shorif Uddin Avdhesh Sharma Kusum Lata Agarwal Mukesh Saraswat •
•
•
Editors
Intelligent Energy Management Technologies ICAEM 2019
123
Editors Mohammad Shorif Uddin Department of Computer Science and Engineering Jahangirnagar University Dhaka, Bangladesh Kusum Lata Agarwal Department of Electrical Engineering Jodhpur Institute of Engineering and Technology Jodhpur, India
Avdhesh Sharma Department of Electrical Engineering MBM Engineering College Jodhpur, India Mukesh Saraswat Jaypee Institute of Information Technology Noida, India
ISSN 2524-7565 ISSN 2524-7573 (electronic) Algorithms for Intelligent Systems ISBN 978-981-15-8819-8 ISBN 978-981-15-8820-4 (eBook) https://doi.org/10.1007/978-981-15-8820-4 © Springer Nature Singapore Pte Ltd. 2021 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adap
