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Title
Data science and applications for modern power systems / Le Xie, Yang Weng, Ram Rajagopal.
ISBN
9783031291005 (electronic bk.)
303129100X (electronic bk.)
3031290992
9783031290992
Publication Details
Cham : Springer, 2023.
Language
English
Description
1 online resource (446 p.).
Item Number
10.1007/978-3-031-29100-5 doi
Call Number
TK3091
Dewey Decimal Classification
621.319
Summary
This book offers a comprehensive collection of research articles that utilize datain particular large data setsin modern power systems operation and planning. As the power industry moves towards actively utilizing distributed resources with advanced technologies and incentives, it is becoming increasingly important to benefit from the available heterogeneous data sets for improved decision-making. The authors present a first-of-its-kind comprehensive review of big data opportunities and challenges in the smart grid industry. This book provides succinct and useful theory, practical algorithms, and case studies to improve power grid operations and planning utilizing big data, making it a useful graduate-level reference for students, faculty, and practitioners on the future grid. Presents a comprehensive review of data sciences for the power industry; Contains state-of-the-art research articles; Provides practical algorithms and case studies.
Note
Description based upon print version of record.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed June 28, 2023).
Series
Power electronics and power systems (Springer)
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.
