株式会社極東書店トップ ＞ 商品一覧 ＞ Machine Learning Technologies on Energy Economics and Finance: Energy and Sustainable Analytics, Volume 1.
商品詳細
Machine Learning Technologies on Energy Economics and Finance: Energy and Sustainable Analytics, Volume 1.
・ISBN 978-3-031-94864-0 paper EUR 179.99
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| 著者・編者 | Abedin, Mohammad Zoynul / Yong, Wang (eds.), |
|---|---|
| シリーズ | (International Series in Operations Research & Management Science) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2026 |
| ページ数 | 332 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-94281＞ |
解説
This book explores the latest innovations in energy economics and finance, with a particular focus on the role of machine learning algorithms in advancing the energy sector.
It examines key factors shaping this field, including market structures, regulatory frameworks, environmental impacts, and the dynamics of the global energy market. It discusses the critical application of machine learning (ML) in energy financing, introducing predictive tools for forecasting energy prices across various sectors-such as crude oil, electricity, fuelwood, solar, and natural gas. It also addresses how ML can predict investor behavior and assess the efficiency of energy markets, with a focus on both the opportunities and challenges in renewable energy and energy finance.
This book serves as a comprehensive guide for academics, practitioners, financial managers, stakeholders, government officials, and policymakers who seek strategies to enhance energy systems, reduce costs and uncertainties, and optimize revenue for economic growth. This is the first volume of a two-volume set.