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APPLICATION OF FUZZY LOGIC FOR SHORT TERM LOAD DEMAND FORECASTING

MAKHTAR, NORAZLIN (2006) APPLICATION OF FUZZY LOGIC FOR SHORT TERM LOAD DEMAND FORECASTING. Universiti Teknologi PETRONAS. (Unpublished)

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Abstract

This Final Year Project report presents the implementation of Fuzzy Logic techniques in designing the short term load demand forecasting model for Gas District Cooling (GDC) of Universiti Teknologi PETRONAS and New South Wales, Australia. The implementation of Fuzzy Logic technique was carried out by FuzzyTECH software. The performance of the forecast model is evaluated through the prediction for the days in the year 2005. The fuzzy forecasted load values are compared with the actual load to get the forecast accuracy. From the model error analysis, the Mean Absolute Percentage Error (MAPE) is about I% to 6%. It shows that the forecast models still need an improvement in order to reduce errors until reach the acceptable accuracy level. The meteorological variables such as weather temperature, humidity is required in order to achieve high precision of STLF model.

Item Type: Final Year Project
Academic Subject : Academic Department - Electrical And Electronics - Pervasisve Systems - Microelectronics - Material Development - CNT
Subject: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Engineering > Electrical and Electronic
Depositing User: Users 2053 not found.
Date Deposited: 21 Oct 2013 15:32
Last Modified: 21 Oct 2013 15:32
URI: http://utpedia.utp.edu.my/id/eprint/9305

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