Knowledge distillation optimization rnn short-term power outage prediction method, storage medium and equipment

Abstract

This disclosure provides a knowledge distillation optimized RNN short-term power outage prediction method, storage medium and equipment to obtain features with a high degree of correlation with power outages as initial fault features, divide the fault data into a linear main part and a nonlinear main part, and use ARIMA The algorithm realizes the short-term data prediction of the linear main part, and realizes the prediction of the non-linear main part by RNN. Both of them are used as the input of softmax, and finally the regional short-term power outage prediction value is given, so as to realize the prediction accuracy under the premise of ensuring the prediction accuracy. The simplification and compression of the RNN model improves the running speed and parameter tuning performance of the model.

Description

technical field [0001] The disclosure relates to a knowledge distillation optimization RNN short-term power outage prediction method, storage medium and equipment. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] With the rapid development of economic modernization, the requirements for the stability of electric energy are getting higher and higher. Power outages seriously affect people's normal production and life, and even endanger human life. After years of development, the power outage identification work has progressed from the initial human experience to intelligent identification. The current power system collects user electricity consumption information once every 15 minutes. The massive collection of data provides data support for power outage identification. Influenced by factors such as line faults, network stability, and weath...

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Problems solved by technology

[0005] In order to solve the above problems, this disclosure proposes a knowledge distillation optimization RNN short-term power outage prediction method, storage medium and equipment. This disclosure can solve the problem of inefficient power outage prediction caused by massive data collection and prediction deviation caused by terminal batch rotation.

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