Load Forecasting for Peak Power Station using Artificial Intelligence

 




 

Khor, Kim Hau (2018) Load Forecasting for Peak Power Station using Artificial Intelligence. Final Year Project (Bachelor), Tunku Abdul Rahman University College.

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Abstract

The purpose of this study is to design a peak load forecasting system for the peak power station by utilizing the artificial neural network. There are four designing tasks that will be applied for the designing of an artificial neural network in the electrical load forecasting. The peak load forecasting may be affected by many impact factors such as temperature, wind speed, humidity and time where it will be considered in the research. Therefore, the first task is to pre-process these factors and load data before it is used in the neural network. The data will be arranged in such a way, so that, the neural network will be designed to learn the relationship between past, current, and future of the factors and the load data. From the relationship, the neural network shall be able to forecast the peak load data for 24 hours or one month ahead. Finally, the peak load data that is forecasted will be compared with the actual peak load data.

Item Type: Final Year Project
Subjects: Technology > Electrical engineering. Electronics engineering
Faculties: Faculty of Engineering and Technology > Bachelor of Engineering (Honours) Electrical and Electronics
Depositing User: Library Staff
Date Deposited: 09 Oct 2018 07:57
Last Modified: 09 Oct 2018 07:57
URI: https://eprints.tarc.edu.my/id/eprint/216