DocumentCode
3219421
Title
Experience of great river energy with meter data management
Author
Jones, Jim
Author_Institution
Great River Energy, USA
fYear
2009
fDate
15-18 March 2009
Firstpage
1
Lastpage
1
Abstract
Great River Energy is a generation and transmission cooperative serving 28 distribution cooperatives in Minnesota and Wisconsin. This paper defines the functional requirements related to meter data, develop the business cases, survey the commercial offerings, and determine recommendations on whether and how to pursue meter data management (MDM) capabilities. The primary benefits require integration with other systems, including demand side management and eventually demand response processes.
Keywords
electric power generation; power system management; transmission networks; Great River Energy; Minnesota; Wisconsin; business case; demand response process; functional requirements; meter data management; Artificial neural networks; Energy management; Job shop scheduling; Load forecasting; Power generation; Power system modeling; Power system planning; Predictive models; Rivers; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES
Conference_Location
Seattle, WA
Print_ISBN
978-1-4244-3810-5
Electronic_ISBN
978-1-4244-3811-2
Type
conf
DOI
10.1109/PSCE.2009.4840242
Filename
4840242
Link To Document