Electrical load forecasts in long-term and impact on load management application

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 periodfrom year (2010-2011) to year (2020-2021)is shown.