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Cited by in F6Publishing
For: Li J, Lei Y, Yang S. Mid-long term load forecasting model based on support vector machine optimized by improved sparrow search algorithm. Energy Reports 2022;8:491-7. [DOI: 10.1016/j.egyr.2022.02.188] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 5.0] [Reference Citation Analysis]
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1 Gao T, Niu D, Ji Z, Sun L. Mid-term electricity demand forecasting using improved variational mode decomposition and extreme learning machine optimized by sparrow search algorithm. Energy 2022;261:125328. [DOI: 10.1016/j.energy.2022.125328] [Reference Citation Analysis]
2 Moradzadeh A, Mohammadpourfard M, Konstantinou C, Genc I, Kim T, Mohammadi-ivatloo B. Electric load forecasting under False Data Injection Attacks using deep learning. Energy Reports 2022;8:9933-45. [DOI: 10.1016/j.egyr.2022.08.004] [Reference Citation Analysis]
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4 Yan M, Zhang X, Chen Z, Yang Y, Zheng Y, Li L. A Method for Extracting Features of Modern Folk Opera Performance Art Based on Principal Component Analysis. Scientific Programming 2022;2022:1-11. [DOI: 10.1155/2022/7780816] [Reference Citation Analysis]
5 Han X, Su J, Hong Y, Gong P, Zhu D. Mid- to Long-Term Electric Load Forecasting Based on the EMD–Isomap–Adaboost Model. Sustainability 2022;14:7608. [DOI: 10.3390/su14137608] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]