Manuscript details
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Release date:2023-04-26 Number of views:1074 Amount of downloads:863 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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