24 hours fuzzy logic technique for load forecasting/ Mohd Daud Alang Hassan

Alang Hassan, Mohd Daud (1998) 24 hours fuzzy logic technique for load forecasting/ Mohd Daud Alang Hassan. Degree thesis, Universiti Teknologi, MARA (UiTM).

Abstract

Load forecasting is an important in energy management system. It can be used as an aid in operation and planning of distribution power system. In this thesis a knowledge-based expert system is proposed for the short term load forecasting in which fuzzyTECH software is employed to manipulate actual value of previous load forecast. To develop fuzzy logic system, three different load profiles from data collection are establish. The fuzzy logic based expert system utilizes the historical relationship between load and drybulb temperature and forecast load for 1-24 hour ahead. Experiments were carried out to develop the short term load forecasting (STLF) system. Based on these experiments a triangular membership function with five linguistic term and twenty five appropriate fuzzy rule base give accurate forecast and it used as a forecaster . Overall forecast give a percentage error less then
5 %.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Alang Hassan, Mohd Daud
96093802
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Mohd Shah Baki, Shah Rizam
UNSPECIFIED
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme: Bachelor in Electrical Engineering (Hons)
Date: 1998
URI: https://ir.uitm.edu.my/id/eprint/100690
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