Show simple item record Weranga, KSK Chandima, DP Munasinghe, SR Kumarawadu, SP Abeykoon, AMHS 2016-04-26T03:20:16Z 2016-04-26T03:20:16Z 2016-04-26
dc.description.abstract The short-term electricity demand forecasting has become one of the major research area in power system engineering. By combining the smart metering to the short term demand forecasting techniques, new features can be added to save on demand and electricity bill. This paper illustrates the methodology used to forecast electricity demand over short period of time which can be used with smart meters. Polynomial fitting with interpolation is used to forecast the demand by taking the apparent power sample points from smart meters. The outcome of this work will be beneficial to the residential or industrial electricity consumers to control the demand side loads. It will help the industrial consumers to save on maximum demand charge with the introduction of warning message or residential consumers to reduce their electricity bill by cutting down non-essential loads in peak hours. en_US
dc.language.iso en en_US
dc.relation.uri en_US
dc.source.uri en_US
dc.title Short-Term Electricity Demand Forecasting Method for Smart Meters en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Electrical Engineering en_US
dc.identifier.year 2012 en_US
dc.identifier.conference Information and Automation for Sustainability (ICIAFs), 2012 IEEE 6th International Conference on .... en_US
dc.identifier.pgnos pp. 266 - 272 en_US en_US en_US en_US en_US en_US

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