Simulation and Machine Learning Models for Energy Policy Design (Paperback)
Language: English
Published by Elsevier - Health Sciences Division, Philadelphia, 2025
- Softcover
- New
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
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Condition: New
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Paperback. Simulation and Machine Learning Models for Energy Policy Design This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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- Title
- Simulation and Machine Learning Models for Energy Policy Design (Paperback)
- Author
- Festus Adedoyin
- Publisher
- Elsevier - Health Sciences Division, Philadelphia
- Publication year
- 2025
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0443339716
- ISBN 13
- 9780443339714
It not only addresses renewable (and other forms of) energy integration challenges but also leverages advanced technologies for optimized decision-making. With its holistic approach and insights on practical implementation, this book is a welcome reference for those who work on the design of energy policies.
- Addresses energy policy’s role in climate change that are inline with the growing demand for renewable energy sources and the increasing complexity of energy systems
- Discusses the application of technology as applied to policy design
- Contributes to the ongoing dialogue on shaping a future where energy policies are dynamic, data-driven, and adept at fostering a sustainable energy ecosystem
"Synopsis" may belong to another edition of this title.
About the Author
Festus is a Fellow of the Higher Education Academy, a Senior Lecturer and Programme Leader for BSc Business Computing with Analytics, Data Science and Artificial Intelligence at the Department of Computing and Informatics, Bournemouth University, U.K. His current research interest is in applying Artificial Intelligence, Machine and Deep Learning, and Econometrics tools to research stories in Energy and Tourism Economics and Finance and Digital Health. Festus has contributed to several thematic areas in the UN's Sustainable Development Goals and is open to international research collaborations.
"About the title" may belong to another edition of this title.
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