Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications

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

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

Hardcover

Technology & EngineeringGeneral Computers

ISBN10: 1668488167
ISBN13: 9781668488164
Publisher: Igi Global Scientific Publishing
Published: Feb 3 2023
Pages: 316
Weight: 2.25
Height: 0.75 Width: 8.50 Depth: 11.00
Language: English
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.

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