AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications...

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S. Angalaeswari T. Deepa

AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications

S. Angalaeswari, T. Deepa, L. Ashok Kumar

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English

IGI Global
03 February 2023

Electric motors

Summary
Details

Artificial intelligence techniques applied in the power system sector make the prediction of renewable power source generation and demand more efficient and effective. Additionally, since renewable sources are intermittent in nature, it is necessary to predict and analyze the data of input sources. Hence, further study on the prediction and data analysis of renewable energy sources for sustainable development is required.

AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications focuses on artificial intelligence techniques for the evolving power system field, electric vehicle market, energy storage elements, and renewable energy source integration as distributed generators. Covering key topics such as deep learning, artificial intelligence, and smart solar energy, this premier reference source is ideal for environmentalists, computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Edited by: S. Angalaeswari, T. Deepa, L. Ashok Kumar
Imprint: IGI Global
Country of Publication: United States
Dimensions: Height: 279mm, Width: 216mm,
Weight: 272g
ISBN: 9781668488164
ISBN 10: 1668488167
Pages: 345
Publication Date: 03 February 2023
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active