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The ability to estimate power generation is highly desirable. With a good estimation, an adequate amount of power can be generated and then supply to the whole country without over-producing it. One way of obtaining this estimate is through the availability of forecasting models. These models would benefit the local utility as well as local Independent Power Producers (IPPs) in planning for future power generation. In this project, two models were proposed and developed. They include Multiple Linear Regression Model which consists of few independent variables and dependent variable and the Curve Fit Model that is developed based on the annual Power Generation. For easy access, a software that incorporates these models was developed. User can choose either one of these two models to forecast the desired Power Generation. Visual Basic 6.0 Programming Language was chosen for this software development.

Item Type: Final Year Project
Academic Subject : Academic Department - Electrical And Electronics - Power Systems - Generation - Solar Power Generation
Subject: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Engineering > Electrical and Electronic
Depositing User: Users 2053 not found.
Date Deposited: 24 Oct 2013 09:50
Last Modified: 25 Jan 2017 09:45
URI: http://utpedia.utp.edu.my/id/eprint/9596

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