CV Lattes
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Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Faculdade de Engenharia (FEIS) (Institutional affiliation from the last research proposal) Birthplace: Brazil
graduation at Engenharia Elétrica from Universidade Federal de Santa Maria (1978), graduation at Matemática from Faculdade de Filosofia Ciências e Letras Imaculada Conceição (1977), master's at Electric Engineering from Universidade Federal de Santa Catarina (1982) and PhD at Electric Engineering from Universidade Estadual Paulista Júlio de Mesquita Filho (2004). Has experience in Electric Engineering, acting on the following subjects: load forecasting- neural network, redes neurais, backpropagation algorithm, stability analysis- neural network- and fuzzy logic. (Source: Lattes Curriculum)
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Knowing in advance the variables of the electrical power systems as well as other engineering systems is very important. The use of neural networks for problems that are difficult to model becomes an easier task. Recently the use o hybrid models with neural networks and ARIMA of Box&Jenkins brings good results exploring the advantages of one and other. This project intends to develop some…
Price forecasting is one of the tasks executed to planning and operation of electrical 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 random…
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 …
Price forecasting is one of the tasks executed to planning and operation of electrical 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 random…
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| 2 / 2 | Completed research grants |
| 8 / 8 | Completed scholarships in Brazil |
| 10 / 10 | All research grants and scholarships |
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