Electricity forecasting for small scale power system using fuzzy logic

Bin Khamis, M.F.I. and Bin Baharudin, Z. and Bin Hamid, N.H. and Bin Abdullah, M.F. and Yunus, S.S.Md. (2010) Electricity forecasting for small scale power system using fuzzy logic. In: UNSPECIFIED.

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Abstract

Electricity supply to Universiti Teknologi PETRONAS (UTP) comes from gas district cooling (GDC) plant as a primary source of energy and utility company Tenaga Nasional Berhad (TNB) as a backup. With a maximum capacity of 8.4 MW which comes from 2 nos of gas turbine generators rated at 4.2 MW each, this work aims to forecast short term electricity demand of the plant. As a sole customer of the plant, UTP 2008 electricity demand data is being used as a basis to design a forecast model using Fuzzy Logic. With the forecast model, it will help GDC for pre-planned scheduling and maintenance of the plant and also as guidance for the daily operation of the plant. The proposed fuzzy logic model is applied to obtain one week forecast load demand data for GDC. The forecast accuracy is obtained and it is represented in mean absolute percentage error (MAPE). ©2010 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 18; Conference of 2010 9th International Power and Energy Conference, IPEC 2010 ; Conference Date: 27 October 2010 Through 29 October 2010; Conference Code:83829
Uncontrolled Keywords: District cooling; Electricity demands; Electricity supply; Forecast accuracy; FORECAST model; Fuzzy logic model; Gas turbine generators; Load demand; Mean absolute percentage error; PETRONAS; Power systems; Primary sources; Short term; Short term load forecasting; Small scale; Utility companies, Electric load forecasting; Electricity; Fuzzy systems; Turbines, Fuzzy logic
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:49
Last Modified: 09 Nov 2023 15:49
URI: https://khub.utp.edu.my/scholars/id/eprint/993

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