B. Vinoth Kumar,
P. Sivakumar,
M.M. Rajan Singaravel,
K. Vijayakumar
e.a.
Springer Nature Singapore
e druk, 2020
9789811599675
Intelligent Paradigms for Smart Grid and Renewable Energy Systems
Specificaties
Gebonden, blz.
|
Engels
Springer Nature Singapore |
e druk, 2020
ISBN13: 9789811599675
Rubricering
Onderdeel van serie
Algorithms for Intelligent Systems
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
This book addresses and disseminates state-of-the-art research and development in the applications of intelligent techniques for smart grids and renewable energy systems. This helps the readers to grasp the extensive point of view and the essence of the recent advances in this field. The book solicits contributions from active researchers which include theory, case studies and intelligent paradigms pertaining to the smart grid and renewable energy systems. The prospective audience would be researchers, professionals, practitioners and students from academia and industry who work in this field.
Specificaties
ISBN13:9789811599675
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer Nature Singapore
Inhoudsopgave
Artificial Swarm Intelligence – A Paradigm Shift in Prediction, Decision Making and Diagnosis.- Robust Optimal Tuning of UPFC using Single Objective Optimization Algorithm.- Hybrid Sensorless MPPT Algorithm for Detecting Fast Irradiation Changes and Partial Shading Conditions on PV Systems.- A New Model of Demand Response in Smart Grid.- A Smart Bidirectional Power Interface between Smart Grid and Electric Vehicle.- Nature Inspired Optimization Algorithms for renewable energy generation, distribution and management – A comprehensive review.- Learning Automata and Soft Computing Techniques based Maximum Power Point Tracking Techniques for Solar PV Systems.- Fuzzy Logic Controller based Plug-In EV Battery Charger.- Nature Inspired Algorithms for Maximum Power Point Tracking in Photovoltaic Systems under Partially Shaded Conditions.- Soft Computing Techniques-Based Low Voltage Ride Through control of Doubly Fed Induction Wind Generator.- Harmonic Current Estimation of a Non-Linear Load Using Artificial Neural Network.- Demand Response in Smart Residential Buildings.
