POWER GENERATION FORECAST SOFTWARE
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 wou...
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Universiti Teknologi PETRONAS
2007
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Online Access: | http://utpedia.utp.edu.my/9596/1/2007%20-%20Power%20Generation%20Forecast%20Software.pdf http://utpedia.utp.edu.my/9596/ |
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my-utp-utpedia.95962017-01-25T09:45:51Z http://utpedia.utp.edu.my/9596/ POWER GENERATION FORECAST SOFTWARE MUSTAPHA, SITI NUR BAIZURA TK Electrical engineering. Electronics Nuclear engineering 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. Universiti Teknologi PETRONAS 2007-06 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/9596/1/2007%20-%20Power%20Generation%20Forecast%20Software.pdf MUSTAPHA, SITI NUR BAIZURA (2007) POWER GENERATION FORECAST SOFTWARE. Universiti Teknologi PETRONAS. (Unpublished) |
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TK Electrical engineering. Electronics Nuclear engineering MUSTAPHA, SITI NUR BAIZURA POWER GENERATION FORECAST SOFTWARE |
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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. |
format |
Final Year Project |
author |
MUSTAPHA, SITI NUR BAIZURA |
author_facet |
MUSTAPHA, SITI NUR BAIZURA |
author_sort |
MUSTAPHA, SITI NUR BAIZURA |
title |
POWER GENERATION FORECAST SOFTWARE |
title_short |
POWER GENERATION FORECAST SOFTWARE |
title_full |
POWER GENERATION FORECAST SOFTWARE |
title_fullStr |
POWER GENERATION FORECAST SOFTWARE |
title_full_unstemmed |
POWER GENERATION FORECAST SOFTWARE |
title_sort |
power generation forecast software |
publisher |
Universiti Teknologi PETRONAS |
publishDate |
2007 |
url |
http://utpedia.utp.edu.my/9596/1/2007%20-%20Power%20Generation%20Forecast%20Software.pdf http://utpedia.utp.edu.my/9596/ |
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