Author:
Li Ji,Jiang Xudong,Shao Lei,Liu Hongli,Chen Chao,Wang Gang,Du Dongdong
Cited by
7 articles.
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1. Learning to Predict Tendency of CVE Vulnerability;2023 6th International Conference on Computer Network, Electronic and Automation (ICCNEA);2023-09-22
2. Investigating an Ensemble of ARIMA Models for Accurate Short-Term Electricity Demand Forecasting;2023 58th International Universities Power Engineering Conference (UPEC);2023-08-30
3. A novel prediction method for vulnerability outbreak trend;Computers and Electrical Engineering;2023-05
4. A Short-Term Load Forecasting Method Based on Fast Periodic Component Extraction;2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI);2022-08-19
5. Short-term heat load prediction of heat exchange stations based on CEEMDAN-SE-LSTM;2022 34th Chinese Control and Decision Conference (CCDC);2022-08-15