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Electricity demand forecasting using regression, scenarios and pattern analysis

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dc.contributor.author Khuluse, S
dc.date.accessioned 2009-04-20T13:08:57Z
dc.date.available 2009-04-20T13:08:57Z
dc.date.issued 2009-02
dc.identifier.citation Khuluse, S. 2009. Electricity demand forecasting using regression, scenarios and pattern analysis. CSIR Built Environment Tearoom Session, 6 February 2009. pp 20 en
dc.identifier.uri http://hdl.handle.net/10204/3324
dc.description CSIR Built Environment Tearoom Session, 6 February 2009 en
dc.description.abstract The objective of the study is to forecast national electricity demand patterns for a period of twenty years: total annual consumption and understanding seasonal effects. No constraint on the supply of electricity was assumed en
dc.language.iso en en
dc.publisher CSIR en
dc.subject Electricity demand forecasting en
dc.subject Electricity power system en
dc.subject Electricity consumption en
dc.subject CSIR Built Environment en
dc.title Electricity demand forecasting using regression, scenarios and pattern analysis en
dc.type Conference Presentation en
dc.identifier.apacitation Khuluse, S. (2009). Electricity demand forecasting using regression, scenarios and pattern analysis. CSIR. http://hdl.handle.net/10204/3324 en_ZA
dc.identifier.chicagocitation Khuluse, S. "Electricity demand forecasting using regression, scenarios and pattern analysis." (2009): http://hdl.handle.net/10204/3324 en_ZA
dc.identifier.vancouvercitation Khuluse S, Electricity demand forecasting using regression, scenarios and pattern analysis; CSIR; 2009. http://hdl.handle.net/10204/3324 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Khuluse, S AB - The objective of the study is to forecast national electricity demand patterns for a period of twenty years: total annual consumption and understanding seasonal effects. No constraint on the supply of electricity was assumed DA - 2009-02 DB - ResearchSpace DP - CSIR KW - Electricity demand forecasting KW - Electricity power system KW - Electricity consumption KW - CSIR Built Environment LK - https://researchspace.csir.co.za PY - 2009 T1 - Electricity demand forecasting using regression, scenarios and pattern analysis TI - Electricity demand forecasting using regression, scenarios and pattern analysis UR - http://hdl.handle.net/10204/3324 ER - en_ZA


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