Power abnormal data detection and short-term load prediction model construction based on genetic algorithm
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SPIE
Reference14 articles.
1. A short-term power load forecasting model based on the generalized regression neural network with decreasing step fruit fly optimization algorithm
2. Short-term power load probability density forecasting method using kernel-based support vector quantile regression and Copula theory
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4. A Hybrid Approach for Big Data Outlier Detection from Electric Power SCADA System
5. A detection method for DC power disturbance data of charging pile based on linear algebra;Zhao;Journal of Intelligent and Fuzzy Systems,2020
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