Machine Learning and Data Science in the Power Generation Industry

Best Practices, Tools, and Case Studies

276 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

Machine Learning and Data Science in the Power Generation Industry explores current best practices and quantifies the value-add in developing data-oriented computational programs in the power industry, with a particular focus on thoughtfully chosen real-world case studies. It provides a set of realistic pathways for organizations seeking to develop machine learning methods, with a discussion on data selection and curation as well as organizational implementation in terms of staffing and continuing operationalization. It articulates a body of case study-driven best practices, including renewable energy sources, the smart grid, and the finances around spot markets, and forecasting.

• Reihe: Elsevier
• ISBN: 9780128197424
• Sprache: Englisch
• Erscheinungsdatum: 25.01.2021
• Größe: 233 x 187 mm
• Verlag: Elsevier Inc
• Herausgegeben von: Patrick Bangert