Data Science and Applications for Modern Power Systems /

This book offers a comprehensive collection of research articles that utilize data-in particular large data sets-in modern power systems operation and planning. As the power industry moves towards actively utilizing distributed resources with advanced technologies and incentives, it is becoming incr...

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Bibliographic Details
Main Authors:	Xie, Le (Author), Weng, Yang (Author), Rajagopal, Ram (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2023.
Edition:	1st ed. 2023.
Series:	Power Electronics and Power Systems,
Subjects:	Electric power production. Big data. Business information services. Electrical Power Engineering. Big Data. IT in Business. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Big Data Challenges in Power Systems
Challenges and Opportunities in Utility Data
Wholesale Markets Data Deluge
Distribution System Data Operation
Synchrophasor Data Analytics
Smart Meter and its Implications
Deep Learning in Power Markets
Data-driven Planning in Electric Energy Systems
Common Information Model for Unifying Data Sets
Inference and Business for Aggregators Non-intrusive Load Monitoring
Utility Business Model in the Era of Big Data
Data Security Services for Utilities.