| 000 | 01225nam a22002537a 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20260513115204.0 | ||
| 008 | 260506b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781119761693 | ||
| 041 | _aeng | ||
| 082 | _a621.042 VYA-A | ||
| 245 | _aArtificial Intelligence for Renewable Energy Systems | ||
| 260 |
_aHaboken, USA _bJohn Wiley & Sons, Inc. _c2022 |
||
| 300 | _axiv, 247p. | ||
| 520 | _aThis book discusses the application of artificial intelligence techniques in renewable energy systems. It covers machine learning, deep learning, computational intelligence, smart grid technologies, and intelligent energy management for sustainable power generation and distribution. The book highlights the role of AI in improving efficiency, forecasting, optimization, automation, and decision-making in renewable energy applications such as solar, wind, and smart energy systems. | ||
| 650 |
_aRenewable energy sources _978316 |
||
| 650 |
_aRenewable energy _xArtificial intelligence _978317 |
||
| 700 |
_aVyas, Ajay Kumar, ed. _978315 |
||
| 700 |
_aBalamurugan, S. , ed. _978318 |
||
| 700 |
_aHiran, Kamal Kant, ed. _978319 |
||
| 700 |
_aDhiman, Harsh S. , ed. _978320 |
||
| 942 | _cBK | ||
| 999 |
_c199960 _d199960 |
||