Short-term electric load forcasting using an artificial neural network | |
| Author | Le Tien Thanh |
| Call Number | AIT RSPR no.ET-02-02 |
| Subject(s) | Neural networks (Computer science) Electric power-plants--Load |
| Note | A research study submitted in partial fulfillment of the requirements for the degree of Masters of Engineering, School of Environment, Resources and Development |
| Publisher | Asian Institute of Technology |
| Series Statement | Research studies project report ;no. ET-02-02 |
| Abstract | Artificial Neural Networks have been applied to many fields in recent years. Among them, the feedforward neural networks with backpropagation algorithm appear to be most popular and have been widely used in applications such as forecasting and classification. A Backpropagation network has to be trained with large sample of historical data that have been collected over a given time period. The network will then learn to generalize and extrapolate from new data to predict the future outcomes with an acceptable level of accuracy. In this study, a feedforward neural network with the backpropagation algorithm model is considered and employed for short-term electric load forecasting. To simulate the perf01mance of this model in short-term electric load forecast, four types of data: daily total load, daily peak (valley) load, hourly load and highest (lowest) temperature in northern areas of Vietnam were considered. The results obtained from the model show that the application of neural network to shortterm electric load forecasting problem is very useful with highly accurate results. The ANN is suitable for interpolating the load and temperature data that were collected. |
| Year | 2002 |
| Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. ET-02-02 |
| Type | Research Study Project Report (RSPR) |
| School | School of Environment, Resources, and Development (SERD) |
| Department | Department of Energy and Climate Change (Former title: Department of Energy, Environment, and Climate Change (DEECC)) |
| Academic Program/FoS | Energy Technology (ET) |
| Chairperson(s) | Bhattacharyya, S.C.; |
| Examination Committee(s) | Shrestha, Ram M.; Islam, Nazrul ; |
| Scholarship Donor(s) | The Government of France; |
| Degree | Research report (M.Sc.) - Asian Institute of Technology, 2002 |