Big data application in power systems
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, measurem…
Read More ↓Title Statements
- Full title :Big data application in power systems / Reza Arghandeh [aut]; Yuxun Zhou [aut]
Summary
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 authoritiesContains detailed references for further reading and extended researchProvides additional cross-disciplinary lessons learned from broad disciplines such as statistics, computer science and bioinformaticsFocuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data.
Read More ↓Edition Statements
- Publication Date:2018
Publication Statements
- Publisher(s):Elsevier
- Place of Publication:Kidlington, Oxford
- Language:eng
- Publication Date:2018
The Physical Object
- Description:1 online resource
Edition Identifiers
- ISBN:9780128119693, 0128119691
- oclc:on1281826514
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