Machine Learning and Data Science in the Power Generation Industry

This book PDF is perfect for those who love Technology & Engineering genre, written by Patrick Bangert and published by Elsevier which was released on 14 January 2021 with total hardcover pages 274. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Machine Learning and Data Science in the Power Generation Industry books below.

Machine Learning and Data Science in the Power Generation Industry
Author : Patrick Bangert
File Size : 46,7 Mb
Publisher : Elsevier
Language : English
Release Date : 14 January 2021
ISBN : 9780128226001
Pages : 274 pages
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Machine Learning and Data Science in the Power Generation Industry by Patrick Bangert Book PDF Summary

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. Provides best practices on how to design and set up ML projects in power systems, including all nontechnological aspects necessary to be successful Explores implementation pathways, explaining key ML algorithms and approaches as well as the choices that must be made, how to make them, what outcomes may be expected, and how the data must be prepared for them Determines the specific data needs for the collection, processing, and operationalization of data within machine learning algorithms for power systems Accompanied by numerous supporting real-world case studies, providing practical evidence of both best practices and potential pitfalls

Machine Learning and Data Science in the Power Generation Industry

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

DOWNLOAD
Machine Learning and Data Science in the Power Generation Industry

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

DOWNLOAD
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