A Method to Optimize the Parameter Selection in Short Term Load Forecasting
نویسندگان
چکیده
Load forecasting allows electric utilities to enhance energy purchasing and generation, load switching, contracts negotiation and infrastructure development [1]. The consumption regions have characteristic consumption profiles which determine a causal relationship between the load and a set of predictors. For short term load forecasting, in which the predictions range from few minutes to some days ahead, it is crucial to model this relationship. Because only a subset of all the available variables is relevant [3, 4], they should be examined before the model is specified. Figure 1 shows this procedure and presents the scope of this work: parameter selection and predictors identification.
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تاریخ انتشار 2007