Sustainable Developments Artificial Intelligence (18 results)
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Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies
Kumar, Krishna (EDT); Rao, Ram Shringar (EDT); Kaiwartya, Omprakash (EDT); Kaiser, Shamim (EDT); Padmanaban, Sanjeevikumar (EDT)
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Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies
Kumar, Krishna (EDT); Rao, Ram Shringar (EDT); Kaiwartya, Omprakash (EDT); Kaiser, Shamim (EDT); Padmanaban, Sanjeevikumar (EDT)
- Softcover
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Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies
Kumar, Krishna (EDT); Rao, Ram Shringar (EDT); Kaiwartya, Omprakash (EDT); Kaiser, Shamim (EDT); Padmanaban, Sanjeevikumar (EDT)
- Softcover
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Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies
Kumar, Krishna (EDT); Rao, Ram Shringar (EDT); Kaiwartya, Omprakash (EDT); Kaiser, Shamim (EDT); Padmanaban, Sanjeevikumar (EDT)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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- Softcover
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Taschenbuch. Condition: Neu. Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies | Krishna Kumar (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Elsevier | EAN 9780323912280 | Verantwortliche Person für die EU: Zeitfracht Medien GmbH, Ferdinand-Jühlke-Str. 7, 990…95 Erfurt, produktsicherheit[at]zeitfracht[dot]de | Anbieter: preigu.
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Language: English
Published by Elsevier - Health Sciences Division, US, 2022
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Paperback. Condition: New. Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critic…al environmental, economic and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid. It considers how artificial intelligence and machine learning techniques are being developed to produce more reliable energy generation to optimize system performance and provide sustainable development. As the use of artificial intelligence to revolutionize the energy market and harness the potential of renewable energy is essential, this reference provides practical guidance on the application of renewable energy with AI, along with machine learning techniques and capabilities in design, modeling and for forecasting performance predictions for the optimization of renewable energy systems. It is targeted at researchers, academicians and industry professionals working in the field of renewable energy, AI, machine learning, grid Stability and energy generation.
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- Softcover
Seller: moluna, Greven, Germanymoluna
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Condition: New. Covers the best-performing methods and approaches for designing renewable energy systems with AI integration in a real-time environment Gives advanced techniques for monitoring current technologies and how to efficiently utilize the energ.
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Language: English
Published by Elsevier - Health Sciences Division, US, 2022
- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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Paperback. Condition: New. Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critic…al environmental, economic and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid. It considers how artificial intelligence and machine learning techniques are being developed to produce more reliable energy generation to optimize system performance and provide sustainable development. As the use of artificial intelligence to revolutionize the energy market and harness the potential of renewable energy is essential, this reference provides practical guidance on the application of renewable energy with AI, along with machine learning techniques and capabilities in design, modeling and for forecasting performance predictions for the optimization of renewable energy systems. It is targeted at researchers, academicians and industry professionals working in the field of renewable energy, AI, machine learning, grid Stability and energy generation.
Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies: 1ed
- Softcover
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Condition: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.
- Softcover
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Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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Condition: new. Questo è un articolo print on demand.
- Softcover
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Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 400 pages. 9.00x6.00x0.85 inches. In Stock. This item is printed on demand.
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Language: English
Published by Elsevier Science & Technology, Elsevier, 2022
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. tradit…ional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid. It considers how artificial intelligence and machine learning techniques are being developed to produce more reliable energy generation to optimize system performance and provide sustainable development. As the use of artificial intelligence to revolutionize the energy market and harness the potential of renewable energy is essential, this reference provides practical guidance on the application of renewable energy with AI, along with machine learning techniques and capabilities in design, modeling and for forecasting performance predictions for the optimization of renewable energy systems. It is targeted at researchers, academicians and industry professionals working in the field of renewable energy, AI, machine learning, grid Stability and energy generation. Englisch.
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Language: English
Published by Elsevier Science & Technology, Elsevier, 2022
- Softcover
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional… baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid. It considers how artificial intelligence and machine learning techniques are being developed to produce more reliable energy generation to optimize system performance and provide sustainable development. As the use of artificial intelligence to revolutionize the energy market and harness the potential of renewable energy is essential, this reference provides practical guidance on the application of renewable energy with AI, along with machine learning techniques and capabilities in design, modeling and for forecasting performance predictions for the optimization of renewable energy systems. It is targeted at researchers, academicians and industry professionals working in the field of renewable energy, AI, machine learning, grid Stability and energy generation.
