Simulation and Machine Learning Models for Energy Policy Design
Language: English
Published by Elsevier, 2025
- Softcover
- New
Seller: Biblios, frankfurt am main, hessen, GermanyBiblios
AbeBooks seller since September 10, 2024
Condition: New
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- Title
- Simulation and Machine Learning Models for Energy Policy Design
- Publisher
- Elsevier
- Publication year
- 2025
- Condition
- New
- Binding
- Soft cover
- 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.
Biblios
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