Machine Learning Technologies on Energy Economics and Finance: Energy and Sustainable Analytics, Volume 1
English | 2025 | ISBN: 3031948610 | 342 Pages | PDF EPUB (True) | 58 MB
English | 2025 | ISBN: 3031948610 | 342 Pages | PDF EPUB (True) | 58 MB
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.