Title :
Experience of great river energy with meter data management
Author_Institution :
Great River Energy, USA
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;
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
DOI :
10.1109/PSCE.2009.4840242
