£161.03

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

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Last 33 days · 33 data points (no recent data)

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£218.67 £155.27 £169.10 £182.93 £196.77 £210.60 £224.43 28 July 2026 05 August 2026 13 August 2026 21 August 2026 29 August 2026
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Price distribution over 33 days • 3 price levels

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1 day · current 5 days 27 days 0 7 14 20 27 £161 £175 £219 Days at Price

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Most common price: £219 (27 days, 81.8%)

Price range: £161 - £219

Price levels: 3 different prices over 33 days

Description

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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
03 February 2023
Listed Since
13 January 2023

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