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Introduction to AI techniques for renewable energy system / edited by Suman Lata Tripathi, Mithilesh Kumar Dubey, Vinay Rishiwal, Sanjeevikumar Padmanaban.

Contributor(s): Tripathi, Suman Lata [editor.].
Material type: materialTypeLabelBookPublisher: Boca Raton : CRC Press, 2021Edition: First edition.Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781003104445; 1003104444; 9781000392487; 1000392481; 9781000392456; 1000392457.Subject(s): Renewable energy sources | Power-plants -- Automatic control | Artificial intelligence | TECHNOLOGY / Electronics / GeneralDDC classification: 621.0420285/63 Online resources: Taylor & Francis | OCLC metadata license agreement
Partial contents:
Artificial intelligence : a new era in renewable energy systems / Kandra Prameela, Challa Lahari, Grandhi Sai Kishore, Kandula Venkata Nikhil, Pavuluri Hemanth.
Summary: "The book summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. Book outlines selected AI applications for renewable energy. In particular, discusses methods using the AI approach for the following applications using suitable examples: prediction and modeling of solar radiation, seizing, performances, and controls of the solar photovoltaic (PV) systems"-- Provided by publisher.
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Artificial intelligence : a new era in renewable energy systems / Kandra Prameela, Challa Lahari, Grandhi Sai Kishore, Kandula Venkata Nikhil, Pavuluri Hemanth.

"The book summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. Book outlines selected AI applications for renewable energy. In particular, discusses methods using the AI approach for the following applications using suitable examples: prediction and modeling of solar radiation, seizing, performances, and controls of the solar photovoltaic (PV) systems"-- Provided by publisher.

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