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Forecasting for demand response in smart grids: An analysis on use of anthropologic and structural data and short term multiple loads forecasting
LUMS Sch Sci & Engn, Dept Comp Sci, Lahore, Pakistan.
LUMS Sch Sci & Engn, Dept Comp Sci, Lahore, Pakistan .
Mälardalen University, School of Sustainable Development of Society and Technology.ORCID iD: 0000-0003-4589-7045
Mälardalen University, School of Sustainable Development of Society and Technology.ORCID iD: 0000-0001-5277-4567
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2012 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 96, p. 150-160Article in journal (Refereed) Published
Abstract [en]

The electric grid is changing. With the smart grid the demand response (DR) programs will hopefully make the grid more resilient and cost efficient. However, a scheme where consumers can directly participate in demand management requires new efforts for forecasting the electric loads of individual consumers. In this paper we try to find answers to two main questions for forecasting loads for individual consumers: First, can current short term load forecasting (STLF) models work efficiently for forecasting individual households? Second, do the anthropologic and structural variables enhance the forecasting accuracy of individual consumer loads? Our analysis show that a single multi-dimensional model forecasting for all houses using anthropologic and structural data variables is more efficient than a forecast based on traditional global measures. We have provided an extensive empirical evidence to support our claims.

Place, publisher, year, edition, pages
2012. Vol. 96, p. 150-160
Keywords [en]
Smart grids, Demand response, Load forecasting, Short term multiple loads forecasting
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-17741DOI: 10.1016/j.apenergy.2012.02.027ISI: 000305595500015Scopus ID: 2-s2.0-84861688089OAI: oai:DiVA.org:mdh-17741DiVA, id: diva2:588210
Available from: 2013-01-15 Created: 2013-01-15 Last updated: 2017-12-06Bibliographically approved

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Wallin, FredrikVassileva, IanaDahlquist, Erik

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