Khuluse, S2009-04-202009-04-202009-02Khuluse, S. 2009. Electricity demand forecasting using regression, scenarios and pattern analysis. CSIR Built Environment Tearoom Session, 6 February 2009. pp 20http://hdl.handle.net/10204/3324CSIR Built Environment Tearoom Session, 6 February 2009The 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 assumedenElectricity demand forecastingElectricity power systemElectricity consumptionCSIR Built EnvironmentConference PresentationKhuluse, S. (2009). Electricity demand forecasting using regression, scenarios and pattern analysis. CSIR. http://hdl.handle.net/10204/3324Khuluse, S. "Electricity demand forecasting using regression, scenarios and pattern analysis." (2009): http://hdl.handle.net/10204/3324Khuluse S, Electricity demand forecasting using regression, scenarios and pattern analysis; CSIR; 2009. http://hdl.handle.net/10204/3324 .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 -