Big Data Application in Power Systems
Editat de Reza Arghandeh, Yuxun Zhouen Limba Engleză Paperback – 26 noi 2017
- 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
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Specificații
ISBN-10: 0128119683
Pagini: 480
Dimensiuni: 191 x 235 x 31 mm
Greutate: 0.93 kg
Editura: ELSEVIER SCIENCE
Public țintă
Engineers, scientists, professionals future electric grid, researchers, graduate students, lecturers in electricity network and smart grid area, data analysis experts, developers in electricity networks and advanced technologies for smart grids,Cuprins
A. Introduction B. Monitoring and Data Aquisition in Power Systems C. Data-Enriched Farmeworks for Smart Grid Management D. Statistical Learning Methods for Smart Grid Applications E. Present Practice for Big Data Analysis in Power Systems F. Big Data for Power System Sustainability, Security and Resiliance E. Utilities and Big Data F. Future Trends for Big Data Application In Smart Grids
Descriere
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