Machine Learning and Data Science in the Power Generation Industry : Best Practices, Tools, and Case Studies
Book Details
Format
Paperback / Softback
ISBN-10
0128197420
ISBN-13
9780128197424
Publisher
Elsevier Science Publishing Co Inc
Imprint
Elsevier Science Publishing Co Inc
Country of Manufacture
NL
Country of Publication
GB
Publication Date
Jan 18th, 2021
Print length
274 Pages
Weight
582 grams
Dimensions
19.30 x 23.50 x 1.70 cms
Product Classification:
Electric motors Machine learning
Ksh 19,450.00
Manufactured on Demand
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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.
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