Short-Term Load Forecasting Based on Correlation Dimension Estimation and Neural Nets
نویسندگان
چکیده
In this paper we present the application of techniques for Correlation Dimension Estimation to estimate the model order of electrical load data. Based on a correct model order, appropriately structured neural nets for load forecasting were designed. Satisfactory results were obtained in one-hour-ahead electrical load prediction on a six months benchmark from an electric utility in the USA.
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