Medium-term load forecasting with artificial neural network models

摘要

The load and power consumption forecasting have a significant impact on the efficient operation of the power transmission and distribution networks if we are to consider that several important cost-effective decisions rely on such forecasting. Among these decisions, that may involve tremendous expenses, one can mention: planning generated and reserve power, planning fuel supply, monitoring system security or operating and planning financial power transactions. The importance of the short and medium-term load forecasting is to increase as a result of the dramatic changes that occur within the structure of the power industry. These changes are generated by the power industry deregulation process and by the emerging competition on the power markets.