Abstract:Some large-scale distribution network load data cleaning methods have the problem of excessive relative error. A load data cleaning method for large-scale distribution network based on improved random forest is designed. Based on the release characteristics of electrical loads, large-scale distribution network open source data is collected, and an anomaly data processing model is constructed based on improved random forests to describe the processing process of numerical error data, using the original sample s… Show more
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