Machine Learning and Data Science in the Power Generation Industry

Best Practices, Tools, and Case Studies

Patrick Bangert
Elsevier S&T
274 pages
ISBN: 978-0128197424
February 2021

This book 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.