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

Patrick Bangert (Editor)

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Book cover for Machine Learning and Data Science in the Power Generation Industry

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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.
  • ISBN13 9780128197424
  • Publish Date 18 January 2021
  • Publish Status Active
  • Publish Country US
  • Imprint Elsevier Science Publishing Co Inc
  • Format Paperback
  • Pages 274
  • Language English