Machine Learning and Data Science in the Power Generation Industry - by Patrick Bangert (Paperback)
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<p/><br></br><p><b> Book Synopsis </b></p></br></br><p><b><i>Machine Learning and Data Science in the Power Generation Industry</i></b> 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.</p>
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