Téléchargez le livre : Big Data Application in Power Systems

Big Data Application in Power Systems

de

,

Éditeur :

Elsevier Science


Paru le : 2017-11-27

eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈 ebook sans DRM
Lecture en ligne (streaming)
117,31 €
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
Big Data Application in Power Systems brings together experts from academia, industry and regulatory agencies who share their understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring systems and sensor networks dramatically increase the variety, volume and velocity of measurement data in electricity transmission and distribution level. The book focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data. The book chapters discuss challenges, opportunities, success stories and pathways for utilizing big data value in smart grids. - Provides expert analysis of the latest developments by global authorities - Contains detailed references for further reading and extended research - Provides additional cross-disciplinary lessons learned from broad disciplines such as statistics, computer science and bioinformatics - Focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data
Pages
480 pages
Collection
n.c
Parution
2017-11-27
Marque
Elsevier Science
EAN papier
9780128119686
EAN PDF
9780128119693
Informations sur l'ebook
Nombre pages copiables
48
Nombre pages imprimables
48
Taille du fichier
42209 Ko
Prix
117,31 €
EAN EPUB SANS DRM
9780128119693
Informations sur l'ebook
Prix
117,31 €

Suggestions personnalisées