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| Titre : | Intelligent Renewable Energy Systems : Integrating Artificial Intelligence Techniques and Optimization Algorithms |
| Auteurs : | S. Balamurugan, Auteur ; Neeraj Priyadarshi, Auteur |
| Type de document : | texte imprimé |
| Editeur : | Hoboken : Wiley, 2022 |
| ISBN/ISSN/EAN : | 978-1-119-78627-6 |
| Format : | 450p. / ill.couv en coul. / 24 Cm. |
| Langues: | Anglais |
| Langues originales: | Anglais |
| Index. décimale : | 621.042 (Énergétique (technologie relative aux énergies de substitution et renouvelables)) |
| Catégories : | |
| Mots-clés: | Energies Renouvelables |
| Résumé : |
Renewable energy is one of the most important subjects being studied, researched, and advanced in todays world. From a macro level, like the stabilization of the entire worlds economy, to the micro level, like how you are going to heat or cool your home tonight, energy, specifically renewable energy, is on the forefront of the discussion.
This book illustrates modelling, simulation, design and control of renewable energy systems employed with recent artificial intelligence (AI) and optimization techniques for performance enhancement. Current renewable energy sources have less power conversion efficiency because of its intermittent and fluctuating behavior. Therefore, in this regard, the recent AI and optimization techniques are able to deal with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources more efficiently compared to classical soft computing techniques. This book provides an extensive analysis of recent state of the art AI and optimization techniques applied to green energy systems. Subsequently, researchers, industry persons, undergraduate and graduate students involved in green energy will greatly benefit from this comprehensive volume, a must-have for any library. |
| Note de contenu : |
Summary:
Chapitre 1 Optimization Algorithm for Renewable Energy Integration Chapitre 2 Chaotic PSO for PV System Modelling Chapitre 3 Application of Artificial Intelligence and Machine Learning Techniques in Island Detection in a Smart Grid Chapitre 4 Intelligent Control Technique for Reduction of Converter Generated EMI in DG Environment Chapitre 5 A Review of Algorithms for Control and Optimization for Energy Management of Hybrid Renewable Energy Systems Chapitre 6 Integration of RES with MPPT by SVPWM Scheme Chapitre 7 Energy Management of Standalone Hybrid Wind-PV System Chapitre 8 Optimization Technique Based Distribution Network Planning Incorporating Intermittent Renewable Energy Sources Chapitre 9 User Interactive GUI for Integrated Design of PV Systems Chapitre 10 Situational Awareness of Micro-Grid Using Micro-PMU and Learning Vector Quantization Algorithm Chapitre 11 AI and ML for the Smart Grid Chapitre 12 Energy Loss Allocation in Distribution Systems with Distributed Generations Chapitre 13 Enhancement of Transient Response of Statcom and VSC Based HVDC with GA and PSO Based Controllers Chapitre 14 Short Term Load Forecasting for CPP Using ANN Chapitre 15 Real-Time EVCS Scheduling Scheme by Using |
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| Cote | Support | Localisation | Section | Disponibilité |
|---|---|---|---|---|
| F8/12725 | Livre | Bibliothèque de la Faculté de Technologie | Salle des livres | Réservé |
