Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies
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…
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Produktdetails
Weitere Autoren: Rao, Ram Shringar (Associate Professor, Department of Computer Science and Engineering of Ambedkar Institute of Advanced Communication Technologies and Research, Delhi, India) (Hrsg.) / Kaiwartya, Omprakash (Senior Lecturer and Course Leader, MSc Engineering, School of Science & Technology, Nottingham Trent University (NTU), UK) (Hrsg.) / Kaiser, Shamim (Professor, Institute of Information Technology of Jahangirnagar University, Savar, Dhaka, Bangladesh) (Hrsg.) / Padmanaban, Sanjeevikumar (CTiF Global Capsule (CGC), Department of Business Development and Technology, Aarhus University, Herning, Denmark) (Hrsg.)
- ISBN: 978-0-323-91228-0
- EAN: 9780323912280
- Produktnummer: 37738452
- Verlag: Elsevier - Health Sciences Division
- Sprache: Englisch
- Erscheinungsjahr: 2022
- Seitenangabe: 416 S.
- Masse: H15.2 cm x B22.7 cm x D3.2 cm 664 g
- Gewicht: 664
- Sonstiges: Professional & Vocational
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