Abstract
In order to improve the accuracy of customer microgrid energy demand forecasting, this paper conducts an in-depth study on the prediction of customer microgrid energy demand based on a multi-level fuzzy evaluation model. Firstly, a multi-level fuzzy evaluation index system was constructed, the multi-level fuzzy evaluation indicators were clarified, and the correlation characteristics, interactive characteristics and data dimension characteristics of customer energy consumption data were analyzed. Then, according to the principle of multi-level fuzzy evaluation method, the factor set and the evaluation set are clarified, and the multi-level fuzzy relationship is induced by the multi-level fuzzy mapping, the fuzzy matrix is obtained, and the identification parameters are processed to complete the prediction of the customer's microgrid energy demand. The simulation results show that the overall prediction accuracy of the proposed model is high, the prediction time is short, and the practicability is strong.
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