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Power System Reliability Prediction Model Based on Collaborative Machine Learning

Release date:2023-04-26  Number of views:652   Amount of downloads:651   DOI:10.19457/j.1001-2095.dqcd23929

      Abstract: It is well known that the power system operation process will appear to require explicit just

prediction difficulties and other problems,the power system operation reliability prediction model based on

continuous collaborative machine learning algorithm was constructed.First,the continuous collaborative machine

learning algorithm mechanism was constructed to achieve accurate prediction of power system operation reliability.

Then,the sample accurate prediction mechanism for core elements of power system operation reliability under

positive time sequence was constructed. Finally,the optimal prediction result was output by means of the power

system operation reliability prediction function. The verification results show that the model meets the needs of

intelligent transformation of power system operation reliability prediction,greatly optimizes the intelligent

controllable perception mechanism of power system operation reliability prediction,and the core parameters of

power system operation reliability prediction model meet the requirements of engineering practice.


      Key words: power system operation;reliability prediction;continuous collaborative machine learning

algorithm;long short-term memory(LSTM)algorithm;deep convolution neural network(DCNN)algorithm




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