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Книга Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting Anuradha Tomar

Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting

Автор: Anuradha Tomar, Prerna Gaur, XiaoLong Jin
Език: Английски език
Корици: С меки корици
Издател: Springer, Berlin
Наличност: Външен склад
Изпращаме след 8-11 дни
167.93 € 328.45 лв
This book provides an introduction to forecasting methods for renewable energy sources integrated wi...

Информация за книгата

Автор
Anuradha Tomar, Prerna Gaur, XiaoLong Jin
Език
Английски език
Корици
Книга - С меки корици
Издадена
2024
страници
198
EAN
9789811964923
Enbook ID
44623913
Издател
Springer, Berlin
Теглоt
368
Размери
155 x 235

Пълно описание

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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