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- [1] Ultra-short-term power load forecasting based on CNN-BiLSTM-Attention Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2022, 50 (08): : 108 - 116
- [3] Industrial Ultra-Short-Term Load Forecasting With Data Completion IEEE ACCESS, 2020, 8 : 158928 - 158940
- [4] Ultra-short-term forecasting method based on response characteristics of flexible load Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2019, 47 (09): : 27 - 34
- [5] Ultra-Short-Term Load Forecasting Based on Convolutional-LSTM Hybrid Networks 2022 IEEE 31ST INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2022, : 142 - 148
- [7] Ultra-short-Term Load Forecasting Model Based on VMD and TGCN-GRU ADVANCES AND TRENDS IN ARTIFICIAL INTELLIGENCE: THEORY AND PRACTICES IN ARTIFICIAL INTELLIGENCE, 2022, 13343 : 15 - 28
- [8] Ultra-short-term Load Forecasting Considering Demand Response in Load Aggregator Mode Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2021, 45 (01): : 79 - 87
- [10] Forecasting for Ultra-Short-Term Electric Power Load Based on Integrated Artificial Neural Networks SYMMETRY-BASEL, 2019, 11 (08):