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Electricity Forecasting for the Small Scale Power System Using Fuzzy Logic

Siti Sarah binti Md Yunus, Siti Sarah (2010) Electricity Forecasting for the Small Scale Power System Using Fuzzy Logic. Universiti Teknologi Petronas. (Unpublished)

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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 TNB as a backup. With a maximum capacity of 8.4MW which comes from 2 nos of gas turbine generator rated at 4.2MW each, this project 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 forecasting model with using Fuzzy Logic (Fuzzytech Software).

Item Type: Final Year Project
Subject: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Engineering > Electrical and Electronic
Depositing User: Users 5 not found.
Date Deposited: 03 Nov 2011 11:23
Last Modified: 25 Jan 2017 09:43
URI: http://utpedia.utp.edu.my/id/eprint/1266

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