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B01=Apoorva S. Shastri
B01=Chetan B. Khadse
B01=Ishaan R. Kale
Category1=Non-Fiction
Category=PBU
Category=THR
Category=UMB
Category=UYQ
COP=Singapore
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch

Intelligent Methods in Electrical Power Systems

English

This book provides a comprehensive review of the latest developments in optimization based learning algorithms within the field of electrical engineering. It covers various power system applications including efficient power system operation, load forecasting, fault analysis, home automation and efficient smart grid management. Each application is accompanied by case studies and a literature review in self-contained chapters. The book is dedicated to study the effectiveness of intelligent methods in addressing the power system problems and its mitigation using optimization algorithms. It discusses several optimization algorithms such as random forest algorithm, metaheuristic algorithm, scaled conjugate gradient descent algorithm, artificial bee colony algorithm etc. and their usability in intelligent decision makers for the various optimization problems in electrical engineering. This timely book serves as a practical guide and reference sources for students, researchers and professionals.

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Current price €154.84
Original price €162.99
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Age Group_Uncategorizedautomatic-updateB01=Apoorva S. ShastriB01=Chetan B. KhadseB01=Ishaan R. KaleCategory1=Non-FictionCategory=PBUCategory=THRCategory=UMBCategory=UYQCOP=SingaporeDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 10 Dec 2024

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 10 Dec 2024
  • Publisher: Springer Verlag Singapore
  • Publication City/Country: Singapore
  • Language: English
  • ISBN13: 9789819757176

About

Chetan B. Khadse holds a PhD in AI applications in Electrical Engineering from Visvesvaraya National Institute of Technology Nagpur India  an MTech in Power Systems from Shivaji University India and a Bachelors from Amravati University India. He is currently working as an Assistant Professor in the School of Electrical Engineering at the MITWPU Pune India. His research interests include artificial intelligence power systems power quality optimization algorithms and intelligent systems. He has published over  18 research papers in peer-reviewed reputed journals chapters and conferences. He is actively involved in the Center of Excellence of Electric vehicle at MITWPU where his research is mainly focused on AI techniques for the betterment of EVs.  Ishaan R. Kale holds a Ph.D. in Nature-Inspired Optimization Techniques from the faculty of Mechanical Engineering at Symbiosis International University. He received his Master of Engineering in Mechanical Design Engineering from Maharashtra Institute of Technology Pune University and his Bachelor of Engineering from North Maharashtra University. Ishaan worked as an Assistant Professor at Symbiosis Institute of Technology for six years. Currently he is working as a Research Assistant Professor at the Institute of Artificial Intelligence MIT World Peace University. His research interests include Design Engineering Structural Optimization Computational Intelligence Constraint Handling Probability Collectives Socio Inspired Optimization Methods Physics-Based Optimization Methods Cohort Intelligence Particle Swarm Optimization Genetic Algorithms Hybrid Metaheuristics Game Theory Operation Research and Numerical Methods.  He has published 10 research papers in peer-reviewed journals conferences and chapters along with one authored and one edited book. He is also involved as an active research member of the Optimization and Agent Technology Research Lab. Apoorva S. Shastri holds a PhD in Optimization Algorithms and Applications from Symbiosis International (Deemed University) a Master of Technology (M. Tech) in VLSI Design and a Bachelor of Engineering in Electronics & Product Design Technology from R.T.M.N.U Nagpur. She has also earned a Diploma from the Govt. Polytechnic Nagpur. She worked as a guest faculty at the Centre for Development of Advanced Computing (C-DAC) Pune. Currently she is a Research Assistant Professor at the Institute of Artificial Intelligence at the MITWPU Pune India. Her research interests include optimization algorithms VLSI design multi-objective optimization continuous discrete and combinatorial optimization complex systems manufacturing and self-organizing systems. Apoorva developed socio-inspired optimization methodologies such as Multi-Cohort Intelligence Algorithm and Expectation Algorithm. Apoorva has published several research papers in peer-reviewed journals chapters and conferences along with one Springer authored book. She is a regular reviewer of different journals Elsevier and Springer. She has also served as session chair for a few international conferences.

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