Introduction to AI techniques for renewable energy systems / edited by Suman Lata Tripathi, Mithilesh Kumar Dubey, Vinay Rishiwal, Sanjeevikumar Padmanaban.
Material type:
TextPublisher: Boca Raton : CRC Press, Taylor & Francis Group, 2021Edition: First editionDescription: xii, 410 pContent type: text Media type: computer Carrier type: online resourceISBN: 9781003104445Subject(s): Renewable energy sources | Power-plants -- Automatic control | Artificial intelligenceAdditional physical formats: Print version:: Introduction to AI techniques for renewable energy systemDDC classification: 621.0420 LOC classification: TJ808Summary: "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.
| Item type | Current location | Home library | Shelving location | Call number | Status | Date due | Barcode | Item holds |
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Book
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School of Mechanical & Manufacturing Engineering (SMME) | School of Mechanical & Manufacturing Engineering (SMME) | General Stacks | 621.0420 TRI (Browse shelf) | Available | SMME-4377 |
Includes bibliographical references and index.
"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.
Description based on print version record.
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