Machine Learning and Data Science in the Power Generation Industry : Best Practices, Tools, and Case Studies Paperback / softback
Edited by Patrick (Vice President of Artificial Intelligence at Samsung SDSA, San Jose, CA, United St Bangert
Paperback / softback
Description
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.
Information
-
Out of Stock - We are unable to provide an estimated availability date for this product
- Format:Paperback / softback
- Pages:274 pages
- Publisher:Elsevier Science Publishing Co Inc
- Publication Date:18/01/2021
- Category:
- ISBN:9780128197424
Information
-
Out of Stock - We are unable to provide an estimated availability date for this product
- Format:Paperback / softback
- Pages:274 pages
- Publisher:Elsevier Science Publishing Co Inc
- Publication Date:18/01/2021
- Category:
- ISBN:9780128197424