Machine Learning and Data Science in the Power Generation Industry: Best Practices, Tools, and Case Studies

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.

• Format: Paperback
• Language: English
• ISBN: 0128197420
• ISBN13: 9780128197424
• Release Date: February 2021
• Publisher: Elsevier
• Length: 274 Pages
• Weight: 1.06 lbs.
• Dimensions: 0.6" x 7.5" x 9.3"