Mohd Johari, Mohd Zulhafiz (2009) A Study On Short Term Load Forecasting. Project Report. UTeM, Melaka, Malaysia. (Submitted)
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Abstract
This project is to forecast or predict the load flow for economic dispatch by using the single artificial neural network (ANN). This project also is to develop ANN that will give a faster result compared with conventional method. Several ANN parameters will be used such as learning rate, momentum rate, number of hidden layers and nodes and training function. The Back Propagation which consists of multi-layered perception model makes possible to train the ANN training patterns. As an input, the load data of 24 hours has been developed and its output is the next 24 hours of the load. After doing testing with the optimum training network, the network will give the desired output of the load forecasting.
| Item Type: | Final Year Project (Project Report) |
|---|---|
| Uncontrolled Keywords: | Electric power-plants -- Load -- Forecasting, Electric power consumption -- Forecasting, Electric utilities -- Planning |
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Library > Final Year Project > FKE |
| Depositing User: | Nor Ridzuan S.Kasehan |
| Date Deposited: | 22 Mar 2012 07:56 |
| Last Modified: | 28 May 2015 02:24 |
| URI: | http://digitalcollection.utem.edu.my/id/eprint/1701 |
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