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Examining Information Entropy Approaches as Wind Power Forecasting Performance Metrics [electronic resource] : Preprint.

Power Generation; Stochastic Systems; Power Engineering And Energy; Wind Power Generation; Wind Energy; Electricity, Resources, And Buildings Systems.

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Bibliographic Details
Online Access:	Online Access (via OSTI)
Corporate Author:	National Renewable Energy Laboratory (U.S.) (Researcher)
Format:	Government Document Electronic eBook
Language:	English
Published:	Washington, D.C. : Oak Ridge, Tenn. : United States. Department of Energy. Office of Energy Efficiency and Renewable Energy ; distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, 2012.
Subjects:	Entropy. Forecasting. Metrics. Performance. Power Systems. Wind Power. Wind Energy. Power Transmission And Distribution.

Description
Summary:	Power Generation; Stochastic Systems; Power Engineering And Energy; Wind Power Generation; Wind Energy; Electricity, Resources, And Buildings Systems.
Abstract:	In this paper, we examine the parameters associated with the calculation of the Renyi entropy in order to further the understanding of its application to assessing wind power forecasting errors.
Item Description:	Published through SciTech Connect. 06/01/2012. "nrel/cp-5500-53515" Presented at the 12th International Conference on Probabilistic; Methods Applied to Power Systems, 10-14 June 2012, Istanbul, Turkey. Hodge, B. M.; Orwig, K.; Milligan, M.
Physical Description:	8 pp. : digital, PDF file.