Power utilization abnormal behavior recognition method based on fuzzy neural network
A technology of fuzzy neural network and identification method, which is applied in the field of identifying abnormal behavior of electricity consumption by using fuzzy neural network algorithm, which can solve the problems of terminal misreporting information, redundancy, and insufficient accuracy of monitoring results, etc.
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[0086] In the attached picture figure 1 The overall implementation process of the scheme of the present invention is given. The invention provides a method for identifying abnormal electricity consumption behavior based on fuzzy neural network. The specific implementation steps are as follows:
[0087] 1. Sample electricity consumption data extraction.
[0088] Taking the electricity consumption data of an enterprise user as a sample, the electricity consumption data is first extracted, and the useful data related to the establishment of the model is extracted. Data such as user name, user number, electricity consumption address, electricity consumption category, and real-time load are extracted from the sample data. Calculate the electricity consumption based on the electricity load data, the formula is as follows:
[0089]
[0090] Among them, f l is the electricity consumption on the first day, m i It is the total active power every 15 minutes on the first day, and i...
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