ELECTRICAL LOAD FORECASTS IN LONG –TERM AND IMPACT ON LOAD MANAGEMENT APPLICATION
22nd International Conference on Electricity Distribution • 2013
Publication Information
Authors
Fahmy BENDARY, Hassan MAHMOUD, Salem EL- SHEIKH
Keywords
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Journal
22nd International Conference on Electricity Distribution
Publisher
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Volume
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Issue
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Pages
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publication.type
International
Paper Link
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Supplementary Materials
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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.
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