Meteorological Parameters Influence for Medium Term Load Forecasting
Meteorological Parameters Influence for Medium Term Load Forecasting
The present paper reports a correction algorithm based on meteorological parameters, to apply to a medium-term load forecasting (MTLF) available system. To this aim a correlation study between various meteorological data and electric load of a Municipal Utility has been performed. In particular the analyzed meteorological data concern temperature and humidity gathered along a period often years. This correlation analysis made possible to heuristically identify the correction algorithm that is finally tested by evaluating forecasting accuracy of a MTLF system, based on a artificial neural network (ANN), using only electric time series
- Sapienza University of Rome Italy
- Touro University Rome Italy
- University of L'Aquila Italy
artificial neural network; correlation analysis; medium term load forecasting; meteorological parameters
artificial neural network; correlation analysis; medium term load forecasting; meteorological parameters
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