Short term load forecast method of distribution network based on empirical mode decomposition and deviation correction
Under the influence of uncertain factors such as temperature,rest days and even emergencies,the accuracy of distribution network short-term load forecast is not high.Aiming at the above problems,a distribution network short-term load forecast method based on empirical mode decomposition and deviation correction is proposed.Preprocessing the load data of distribution network,including missing data compensation,abnormal value processing and normalization;Using empirical mode decomposition,the preprocessed distribution network load time series is decomposed into several independent Intrinsic Mode Function components.Taking these components as inputs,the short-term load value of distribution network is analyzed by deep confidence network.The fuzzy control method is introduced to take the two common uncertain factors of temperature change and rest day into account,optimize the basic short-term load forecast results calculated by the depth confidence network,and realize the deviation correction.The results show that the accuracy of distribution network short-term load forecast is improved by the research.
empirical mode decompositiondeviation correctionshort term load of distribution networkdeep confidence network
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