Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting(Lecture Notes in Electrical Engineering)

可再生能源发电预测技术及负荷需求预测

能源化学

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出  版 社
出版时间
2024年01月21日
装      帧
平装
ISBN
9789811964923
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页      码
198
语      种
英文
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库存 30 本
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图书简介
This book provides an introduction to forecasting methods for renewable energy sources integrated with existing grid. It consists of two sections; the first one is on the generation side forecasting methods, while the second section deals with the different ways of load forecasting. It broadly includes artificial intelligence, machine learning, hybrid techniques and other state-of-the-art techniques for renewable energy and load predictions. The book reflects the state of the art in distributed generation system and future microgrids and covers theory, algorithms, simulations and case studies. It offers invaluable insights through this valuable resource to students and researchers working in the fields of renewable energy, integration of renewable energy with existing grid and electrical distribution network.
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