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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
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: Best Practices, Tools, and Case Studies

Bangert, Patrick

Paperback

Technology & Engineering

ISBN10: 0128197420
ISBN13: 9780128197424
Publisher: Elsevier
Published: Jan 18 2021
Pages: 274
Weight: 1.06
Height: 0.58 Width: 7.50 Depth: 9.25
Language: English
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.

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