{
"item_title" : "Machine Learning and Data Science in the Power Generation Industry",
"item_author" : [" Patrick Bangert "],
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Machine Learning and Data Science in the Power Generation Industry : Best Practices, Tools, and Case Studies
Overview
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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Details
- ISBN-13: 9780128197424
- ISBN-10: 0128197420
- Publisher: Elsevier
- Publish Date: January 2021
- Dimensions: 9.25 x 7.5 x 0.58 inches
- Shipping Weight: 1.06 pounds
- Page Count: 274
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