| Grant number: | 05/02879-3 |
| Support type: | Scholarships in Brazil - Scientific Initiation |
| Effective date (Start): | November 01, 2005 |
| Effective date (End): | October 31, 2007 |
| Field of knowledge: | Engineering - Electrical Engineering - Power Systems |
| Principal researcher: | Anna Diva Plasencia Lotufo |
| Grantee: | Kenji Nose Filho |
| Home Institution: | Faculdade de Engenharia (FEIS). Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Ilha Solteira , SP, Brazil |
Abstract Electric load forecasting is very important for planning and operation of electrical power systems. Neural networks are very important for these applications, better than the traditional statistical methods, such as ARIMA of Box&Jenkins. The feedforwar neural network with the backpropagation trainning is one of the most used in several applications found in the literature. This work intends to develop and implement a feedforward neural network with backpropagation training using the toolboxes of MATLAB a very used tool with schoolars and apply to forecast electrical loads with data of a Brazilian system. (AU) | |
| News published in Agência FAPESP Newsletter about the scholarship: | |
| TITULO | |
| Articles published in other media outlets (0 total): | |
| More itemsLess items | |
| VEICULO: TITULO (DATA) | |
| VEICULO: TITULO (DATA) | |