IDEAS home Printed from https://ideas.repec.org/r/eee/appene/v353y2024ipbs0306261923015106.html

Load forecasting for regional integrated energy system based on complementary ensemble empirical mode decomposition and multi-model fusion

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Feng, Juqiang & Cai, Feng & Zhao, Yang & Zhang, Xing & Zhan, Xinju & Wang, Shunli, 2024. "A novel feature optimization and ensemble learning method for state-of-health prediction of mining lithium-ion batteries," Energy, Elsevier, vol. 299(C).
  2. Cao, Yuzhe & Huang, Xuefei & Liu, Jing & Cai, Defu & Ding, Yuemin & Lu, Renzhi, 2025. "DDRGS2S: A novel spatiotemporal correlation-based deep learning model for wind power prediction," Energy, Elsevier, vol. 338(C).
  3. Ren, Xiaoxiao & Tian, Xin & Wang, Kai & Yang, Sifan & Chen, Weixiong & Wang, Jinshi, 2025. "Enhanced load forecasting for distributed multi-energy system: A stacking ensemble learning method with deep reinforcement learning and model fusion," Energy, Elsevier, vol. 319(C).
  4. Peng, Daogang & Liu, Yu & Wang, Danhao & Zhao, Huirong & Qu, Bogang, 2024. "Multi-energy load forecasting for integrated energy system based on sequence decomposition fusion and factors correlation analysis," Energy, Elsevier, vol. 308(C).
  5. Wang, Zhe & Mu, Xichen & Ma, Yuhao & Liao, Pengzhi & Ji, Yulong & Han, Fenghui, 2025. "Advanced energy management and optimal scheduling for integrated offshore gas-hydrogen-electricity-heat systems," Energy, Elsevier, vol. 319(C).
  6. Xinjie Shi & Jianzhou Wang & Jialu Gao, 2025. "Multimodal Optimization Forecasting Model Based on Intelligent Fuzzy Interval Reconstruction," SN Operations Research Forum, Springer, vol. 6(3), pages 1-37, September.
  7. Wang, Danhao & Peng, Daogang & Huang, Dongmei & Zhao, Huirong & Qu, Bogang, 2025. "MMEMformer: A multi-scale memory-enhanced transformer framework for short-term load forecasting in integrated energy systems," Energy, Elsevier, vol. 322(C).
  8. Duan, Pengfei & Zhao, Xiaoyu & Hu, Jinxue & Li, Kang & Xue, Qingwen & Cao, Xiaodong & Wang, Yanmin & Zhao, Bingxu & Zhang, Chenyang & Yuan, Xiaoyang, 2026. "Multi-energy load forecasting incorporating AI algorithms: research status and trends in integrated energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 229(C).
  9. Zhang, Qijun & Liu, Yuxin & Fu, Zhipeng & Cao, Shengliang & Li, Zhen & Wang, Zhenzhen & Wang, Jinshi, 2026. "Multi-load forecasting for regional integrated energy systems using a hybrid ResNet-GRU-MTL model with dynamic grey wolf optimization," Renewable Energy, Elsevier, vol. 256(PI).
  10. Hu, Rong & Zhou, Kaile & Lu, Xinhui, 2025. "Integrated loads forecasting with absence of crucial factors," Energy, Elsevier, vol. 322(C).
  11. Pantoš, Miloš & Lukas, Lucija, 2025. "Enhancing power system reliability through demand flexibility of Grid-Interactive Efficient Buildings: A thermal model-based optimization approach," Applied Energy, Elsevier, vol. 381(C).
  12. Liao, Chengchen & Tan, Mao & Li, Kang & Chen, Jie & Wang, Rui & Su, Yongxin, 2024. "Sequence signal prediction and reconstruction for multi-energy load forecasting in integrated energy systems: A bi-level multi-task learning method," Energy, Elsevier, vol. 313(C).
  13. Qu, Jingbo & Shen, Jiale & Li, Weihan & Wang, Tianyu & Wang, Yijie & Zheng, Ruixiang & Li, Mian & Wang, Zhaoguang, 2026. "Diagnosing inconsistencies in battery energy storage systems: A framework integrating electrical, thermal, and aging perspectives," Applied Energy, Elsevier, vol. 405(C).
  14. Li, Ke & Qin, Zheng & Mu, Yuchen & Wang, Haiyang & Bie, Qingfeng & Yin, Xianxin & Yan, Yi, 2025. "Transfer learning-based multi-energy load forecasting method for integrated energy system with zero-shot," Applied Energy, Elsevier, vol. 401(PC).
  15. Yang, Dongchuan & Li, Mingzhu & Guo, Ju-e & Du, Pei, 2024. "An attention-based multi-input LSTM with sliding window-based two-stage decomposition for wind speed forecasting," Applied Energy, Elsevier, vol. 375(C).
  16. Gou, Liangjie & Yang, Zhaozhong & Min, Chao & Yi, Duo & Li, Xiaogang & Kong, Bing, 2024. "A novel domain adaptation method with physical constraints for shale gas production forecasting," Applied Energy, Elsevier, vol. 371(C).
  17. Thiago Conte & Roberto Oliveira, 2024. "Comparative Analysis between Intelligent Machine Committees and Hybrid Deep Learning with Genetic Algorithms in Energy Sector Forecasting: A Case Study on Electricity Price and Wind Speed in the Brazilian Market," Energies, MDPI, vol. 17(4), pages 1-31, February.
  18. Yin, Linfei & Ju, Linyi, 2025. "ShuffleTransformerMulti-headAttentionNet network for user load forecasting," Energy, Elsevier, vol. 322(C).
  19. Chen, Haoyu & Huang, Hai & Zheng, Yong & Yang, Bing, 2024. "A load forecasting approach for integrated energy systems based on aggregation hybrid modal decomposition and combined model," Applied Energy, Elsevier, vol. 375(C).
  20. Liu, Tianhao & Li, Fangning & Zhang, Dongdong & Shan, Linke & Zhu, Hongyu & Du, Pengcheng & Jiang, Meihui & Goh, Hui Hwang & Kurniawan, Tonni Agustiono & Huang, Chao & Kong, Fannie, 2026. "Intelligent load forecasting technologies for diverse scenarios in the new power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PD).
  21. Shi, Jian & Teh, Jiashen & Alharbi, Bader & Lai, Ching-Ming, 2024. "Load forecasting for regional integrated energy system based on two-phase decomposition and mixture prediction model," Energy, Elsevier, vol. 297(C).
  22. Han, Zhonghe & Han, Shaofeng & Wu, Di & Zhang, Xiaoyu & Song, Han & Guo, Jiacheng & Liu, Zhijian, 2025. "Multi-timescale optimization scheduling of integrated energy systems based on high-accuracy predictions," Energy, Elsevier, vol. 333(C).
  23. Adam Maryniak & Marian Banaś & Piotr Michalak & Jakub Szymiczek, 2024. "Forecasting of Daily Heat Production in a District Heating Plant Using a Neural Network," Energies, MDPI, vol. 17(17), pages 1-19, September.
  24. Dai, Shuangfeng & Mansouri, Seyed Amir & Huang, Shoujun & Alharthi, Yahya Z. & Wu, Yongfei & Bagherzadeh, Leila, 2024. "A multi-stage techno-economic model for harnessing flexibility from IoT-enabled appliances and smart charging systems: Developing a competitive local flexibility market using Stackelberg game theory," Applied Energy, Elsevier, vol. 373(C).
  25. Gao, Peng & Yang, Yang & Li, Fei & Ge, Jiaxin & Yin, Qianqian & Wang, Ruikun, 2024. "Research on integrated decision making of multiple load combination forecasting for integrated energy system," Energy, Elsevier, vol. 311(C).
  26. Kim, Hyung Joon & Kim, Dongwoo & Tak, Hyunwoo & Lee, Jae Yong, 2025. "Global-local attention-enabled multiple decoder Transformer for multi-energy load forecasting in user-level integrated energy system," Applied Energy, Elsevier, vol. 396(C).
  27. Mingfei Wang & Xiangshu Kong & Feifei Shan & Wengang Zheng & Pengfei Ren & Jiaoling Wang & Chunling Chen & Xin Zhang & Chunjiang Zhao, 2024. "Temperature Prediction of Mushrooms Based on a Data—Physics Hybrid Approach," Agriculture, MDPI, vol. 14(1), pages 1-16, January.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.