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Regarding to the daily load forecasting, the sample selection and data preprocessing are crucial to its' precision. In this paper, case-based reasoning (CBR) is adopted to search the historical data whose features are the same as the predict day. CBR is realized through the steps of case representation, indexing, retrieval, and adaptation, and the key idea in CBR involves the use of already existing...
Regarding to the daily load forecasting, the sample selection and data preprocessing are crucial to its precision. In this paper, the grey relation analysis method is adopted to search the historical data points whose variation trends are the same as the predict point. The variation trend of each point is represented by load values of the neighboring points. As no influencing factors are used in this...
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