Simulation and Machine Learning Models for Energy Policy Design
$542.61
- Paperback
329 pages
- Release Date
1 November 2025
Summary
Powering Policy: Simulation & Machine Learning for a Sustainable Future
Simulation and Machine Learning Models for Energy Policy Design explores how policy design can reduce emissions in support of climate action by emphasizing the integration of cutting-edge simulation and machine learning techniques. Bridging the gap between theoretical frameworks and practical implementation, it offers a hands-on guide for policymakers and professionals seeking innovative solutions.
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Book Details
| ISBN-13: | 9780443339714 |
|---|---|
| ISBN-10: | 0443339716 |
| Author: | Festus Adedoyin |
| Publisher: | Elsevier - Health Sciences Division |
| Imprint: | Elsevier - Health Sciences Division |
| Format: | Paperback |
| Number of Pages: | 329 |
| Release Date: | 1 November 2025 |
| Weight: | 0g |
| Dimensions: | 229mm x 152mm |
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About The Author
Festus Adedoyin
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.
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