Quantifying Changes in Building Electricity Use, With Application to Demand Response

Mathieu, Johanna L.; Price, Phillip N.; Kiliccote, Sila; Piette, Mary Ann

doi:10.1109/TSG.2011.2145010

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Quantifying Changes in Building Electricity Use, With Application to Demand Response

Author(s): Johanna L. Mathieu , Phillip N. Price , Sila Kiliccote , Mary Ann Piette

Publication date (Print): September 2011

Journal: IEEE Transactions on Smart Grid

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

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Electric load forecasting using an artificial neural network

L.E. Atlas, D.C. Park, M.A. El-Sharkawi … (1991)

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Tapping the energy storage potential in electric loads to deliver load following and regulation, with application to wind energy

Duncan S. Callaway (2009)

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A comparison of univariate methods for forecasting electricity demand up to a day ahead

James Taylor, Lilian M de Menezes, Patrick E McSharry (2006)

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Journal

Title: IEEE Transactions on Smart Grid

Abbreviated Title: IEEE Trans. Smart Grid

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

ISSN (Print): 1949-3053

ISSN (Electronic): 1949-3061

Publication date Created: September 2011

Publication date (Print): September 2011

Volume: 2

Issue: 3

Pages: 507-518

Article

DOI: 10.1109/TSG.2011.2145010

SO-VID: c0de3030-92c7-4d6f-8ade-8cf38e444e8c

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Quantifying Changes in Building Electricity Use, With Application to Demand Response

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Journal of Green Building

Most cited references 18

Electric load forecasting using an artificial neural network

Tapping the energy storage potential in electric loads to deliver load following and regulation, with application to wind energy

A comparison of univariate methods for forecasting electricity demand up to a day ahead

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