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Quantitative Prediction Method for Distribution Power Grid Risk
2021
E3S Web of Conferences
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The electric power distribution grid is directly oriented to the majority of the ordinary users. Traditional operation and maintenance are performed mainly based on experience, which disable to rationally evaluate the status of the line and predict faults. Based on big data, the risk of the line is evaluated through principal component analysis in this paper, so that a machine learning algorithm is carried out to calculate the risk value of the distribution grid line unit. Finally, GA-BP neural
doi:10.1051/e3sconf/202123601014
doaj:ae93db5799ce42bd933988b2ee38d14a
fatcat:otcuniicnfcf7pymhhddovzk4m