Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting

Name: Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting
Brand: Springer, Berlin
SKU: 9789811964893
Price: 167.69 EUR
Availability: InStock

Автор: Anuradha Tomar, Prerna Gaur, XiaoLong Jin

Език:

Корици: С твърди корици

Издател: Springer, Berlin

Наличност: Външен склад

Изпращаме след 10-13 дни

167.69 € 327.97 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 твърди корици

Издадена

2023

страници

198

EAN

9789811964893

Enbook ID

41378856

Издател

Springer, Berlin

Теглоt

498

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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Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting

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