| Grant number: | 14/05426-9 |
| Support type: | Scholarships in Brazil - Scientific Initiation |
| Effective date (Start): | August 01, 2014 |
| Effective date (End): | July 31, 2015 |
| Field of knowledge: | Engineering - Electrical Engineering - Power Systems |
| Principal researcher: | Anna Diva Plasencia Lotufo |
| Grantee: | Gilian Sayuri Saccai Matsuda |
| Home Institution: | Faculdade de Engenharia (FEIS). Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Ilha Solteira , SP, Brazil |
Abstract Price forecasting is one of the tasks executed in the planning and operation of electricity markets. According to the literature, Artificial Neural Networks are the most used techniques to forecast as well as associated with other classical methods or other artificial intelligence forming the hybrid methods. This work has two parts: use the IEEE 24 RTS to run a DC OPF and compute the LMP randomly varying the load to obtain different scenarios and after realizing the price prediction with Neural Networks (MLP). The DC OPF will be done by MATPOWER and the predictions by the Neural Network Toolbox of MATLAB. (AU) | |
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