Intelligent Forecasting and Optimization in Electrical Power Systems
Paweł Piotrowski, Grzegorz Dudek, Dariusz Baczyński
This is a reprint of articles from the Special Issue published online in the open access journal Energies.
This reprint explores the latest developments and advancements in the application of artificial intelligence (AI) and machine learning (ML) for forecasting and optimization in the field of power engineering. In recent years, AI and ML methods have been gaining significant traction and are becoming two of the most important fields in computing. These methods have proven to be effective in solving forecasting and optimization problems in power engineering. The topics covered in the chapters fall into four categories: electricity demand forecasting, wind power forecasting, photovoltaic power forecasting, and optimization.
This reprint explores the latest developments and advancements in the application of artificial intelligence (AI) and machine learning (ML) for forecasting and optimization in the field of power engineering. In recent years, AI and ML methods have been gaining significant traction and are becoming two of the most important fields in computing. These methods have proven to be effective in solving forecasting and optimization problems in power engineering. The topics covered in the chapters fall into four categories: electricity demand forecasting, wind power forecasting, photovoltaic power forecasting, and optimization.
年:
2023
出版商:
MDPI
語言:
english
頁數:
468
ISBN 10:
3036590811
ISBN 13:
9783036590813
文件:
PDF, 12.63 MB
IPFS:
,
english, 2023
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