Geane B. Silva

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This paper presents the development of a hybrid intelligent system, joining an artificial neural network (ANN) based technique and heuristic rules to adjust the short and mid-term electric load forecasting in the 3, 7, 15, 30, and 45 days ahead. The study was based on load demand data of Energy Company of Pernambuco (CELPE), whose data contain the hourly(More)
3 Introduction Introduction This paper presents a hybrid intelligent system for This paper presents a hybrid intelligent system for electrical load forecast, named by PREVER. electrical load forecast, named by PREVER. Artificial Neural Networks (ANN) were combined with Artificial Neural Networks (ANN) were combined with Heuristic Rules to create the system.(More)
This paper gives an alternative strategy to solve a problem found daily in the distribution utilities of electric energy in regard to hourly load forecasting. The load forecasting produces the essence to increase and strengthen in the basic grid, moreover study into program and planning of the system operation. The load forecasting quality contributes(More)
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