Machine Learning and Data Science in the Power Generation Industry - Best Practices, Tools, and Case Studies (Paperback)

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.

General

Imprint:	Elsevier Science Publishing Co Inc
Country of origin:	United States
Release date:	2021
First published:	2021
Editors:	Patrick Bangert
Dimensions:	235 x 191 x 17mm (L x W x T)
Format:	Paperback
Pages:	274
ISBN-13:	978-0-12-819742-4
Categories:	Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Electric motors Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	0-12-819742-0
Barcode:	9780128197424

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