Handbook of artificial intelligence techniques in photovoltaic systems : modeling, control, optimization, forecasting and fault diagnosis / Adel Mellit and Soteris Kalogirou.
Publisher: London ; San Diego, CA : Academic Press, 2022Copyright date: ©2022Description: xiv, 358 pages : illustrations (some color) ; 23 cmContent type:- text
- unmediated
- volume
- 9780128206416
| Item type | Current library | Home library | Collection | Call number | Materials specified | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|---|---|
| AM | PERPUSTAKAAN LINGKUNGAN KEDUA | PERPUSTAKAAN LINGKUNGAN KEDUA KOLEKSI AM-P. LINGKUNGAN KEDUA | - | TK1087.M455 3 (Browse shelf(Opens below)) | 1 | Available | 00002262631 |
Includes bibliographical references and index.
'Handbook of artificial intelligence techniques in photovoltaic systems provides readers with a comprehensive and detailed overview of the role of artificial intelligence (AI) in PV systems. Covering up-to-date research and methods of how, when, and why to use and apply AI techniques in solving most photovoltaic problems, this book will serve as a complete reference in applying intelligent techniques and algorithms to increase the efficiency of PV systems. Each chapter solves specific problem and can stand independently; this detailed book contains problem-solving data for challenges, including optimization , advanced control, output power forecasting, fault detection identification and localization, and real-time implementation of designed intelligent models (into FPGAs, DSPs, or MCs) and smart monitoring systems.'--Back cover.
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