AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications (Premier Reference Source: Advances in Civil and Industrial Engineering)

ISBN 10: 1668488175 / ISBN 13: 9781668488171

Published by IGI Global, 2023

About this Item

Seller Inventory # I-9781668488171

Bibliographic Details

• Title: AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications (Premier Reference Source: Advances in Civil and Industrial Engineering)
• Publisher: IGI Global
• Publication Date: 2023
• Language: English
• ISBN 10: 1668488175
• ISBN 13: 9781668488171
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.