Téléchargez le livre : Machine Learning and Data Science in the Power Generation Industry

Machine Learning and Data Science in the Power Generation Industry

Best Practices, Tools, and Case Studies de

Éditeur :

Elsevier


Paru le : 2021-01-14

eBook Téléchargement ebook sans DRM
Lecture en ligne (streaming)
147,62 €
Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

badge apple Application Louise Reader
badge Android Application Louise Reader
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. - 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
Pages
274 pages
Collection
n.c
Parution
2021-01-14
Marque
Elsevier
EAN papier
9780128197424
EAN EPUB SANS DRM
9780128226001
Informations sur l'ebook
Prix
147,62 €

Suggestions personnalisées