The paper illustrates some results of a research activity in the field of electric short-term load forecasting (STLF) applied to load areas of municipal or regional extension. To this aim a forecasting procedure has been implemented that is based on time series (nnivariate) model using a Kabnan filtering approach. The model has been applied to data available for a municipal electric utility in Italy. The results thus obtained are reported in the paper and discussed. Some guidelines are finally deduced for further research work still required in this specific field of forecasting problems. © 2004 IEEE.
Short-term forecasting of municipal load through a Kalman filtering based approach / M., Gastaldi; Lamedica, Regina; A., Nardecchia; A., Prudenzi. - STAMPA. - 3:(2004), pp. 1453-1458. (Intervento presentato al convegno 2004 IEEE PES Power Systems Conference and Exposition tenutosi a New York, NY nel 10 October 2004 through 13 October 2004) [10.1109/psce.2004.1397538].
Short-term forecasting of municipal load through a Kalman filtering based approach
LAMEDICA, Regina;
2004
Abstract
The paper illustrates some results of a research activity in the field of electric short-term load forecasting (STLF) applied to load areas of municipal or regional extension. To this aim a forecasting procedure has been implemented that is based on time series (nnivariate) model using a Kabnan filtering approach. The model has been applied to data available for a municipal electric utility in Italy. The results thus obtained are reported in the paper and discussed. Some guidelines are finally deduced for further research work still required in this specific field of forecasting problems. © 2004 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
