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ELECTRICAL LOAD FORECASTS IN LONG –TERM AND IMPACT ON LOAD MANAGEMENT APPLICATION

22nd International Conference on Electricity Distribution • 2013
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Publication Information
Authors Fahmy BENDARY, Hassan MAHMOUD, Salem EL- SHEIKH
Keywords Not Available
Journal 22nd International Conference on Electricity Distribution
Publisher Not Available
Volume Not Available
Issue Not Available
Pages Not Available
publication.type International
Paper Link Not Available
Supplementary Materials Not Available
Abstract
The target of this paper is impacting Demand Side Management (DSM) when it is applied at different sectors; residential, commercial, public, government, agriculture, industrial and the total load of these sectors on national network of power system in Egypt for year (2009-2010) and estimating load forecast for these sectors by Adaptive Network Fuzzy Inference System (ANFIS) techniques during the period from year (2010-2011) to year (2020-2021).The daily load curve for maximum load of August month for year (2009-2010) as base year on Egyptian power system is expressed. Daily load forecast by using three techniques; Adaptive Network Fuzzy Inference System (ANFIS) technique, Artificial Neural Network (ANN) technique and Regression technique are estimated during period from year (2010-2011) to year (2020-2021). he is found the ANFIS technique is more suitable than other techniques. The daily load curve for maximum load of day from year (2009-2010) as base year on Egyptian power system is presented. Estimated daily load forecast by (ANFIS) technique during period from year (2010-2011) to year (2020-2021)is shown.