Abstract
In order to further simplify the process of economic loss assessment of voltage sag and improvethe applicability and accuracy of economic loss prediction, an estimation model based on DBN-DNN for economic loss caused by voltage sag is proposed. The characteristic factors affecting theeconomic loss of voltage sag are analyzed The 19-dimensional feature vectors are extracted from the saginformation, industrial process information, sensitive equipment information and users’ basic information asinput vectors of DBN-DNN prediction model, and the economic loss results are taken as output. Finally, the DBN-DNN model is trained and evaluated based on the actual voltage sag sampling data of alarge electronic industry enterprise in China, which shows the effectiveness of the proposed method.
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Yang, B., Jia, B., Jiang, W., Miao, Y., Wang, Y. (2021). Analysis of Economic Loss of Voltage Sag Based on Artificial Intelligence Algorithm. In: Tian, Y., Ma, T., Khan, M.K. (eds) Big Data and Security. ICBDS 2020. Communications in Computer and Information Science, vol 1415. Springer, Singapore. https://doi.org/10.1007/978-981-16-3150-4_51
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DOI: https://doi.org/10.1007/978-981-16-3150-4_51
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