This paper describes the application of different models which can be used for short-term load prediction. Seperately the nominal, weather-sensitive and residual components of the load will be predicted. Because the time series of the residuals can be considered as a stationary process, the Box-Jenkins approach is used to predict the residuals. As the nominal load model uses recent load data, a special approach is necessary to process weather information.
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