42 citations to 10.1016/j.energy.2017.04.032 (Crossref Cited-By Service)
  1. Hongbin Sun, Xin Pan, Changxin Meng, “A Short-Term Power Load Prediction Algorithm of Based on Power Load Factor Deep Cluster Neural Network”, Wireless Pers Commun, 102, no. 2, 2018, 1073  crossref
  2. A. Zhukov, N. Tomin, V. Kurbatsky, D. Sidorov, D. Panasetsky, A. Foley, “Ensemble methods of classification for power systems security assessment”, Applied Computing and Informatics, 15, no. 1, 2019, 45  crossref
  3. Dasaraden Mauree, Emanuele Naboni, Silvia Coccolo, A.T.D. Perera, Vahid M. Nik, Jean-Louis Scartezzini, “A review of assessment methods for the urban environment and its energy sustainability to guarantee climate adaptation of future cities”, Renewable and Sustainable Energy Reviews, 112, 2019, 733  crossref
  4. Xiaoming Cheng, Lei Wang, Pengchao Zhang, Xinkuan Wang, Qunmin Yan, “Short-term fast forecasting based on family behavior pattern recognition for small-scale users load”, Cluster Comput, 25, no. 3, 2022, 2107  crossref
  5. Taiyong Li, Zijie Qian, Ting He, “Short-Term Load Forecasting with Improved CEEMDAN and GWO-Based Multiple Kernel ELM”, Complexity, 2020, 2020, 1  crossref
  6. Yishuang Hu, Yikai Sun, Chutian Yu, Zhigang Pan, Xiang Yuan, 2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA), 2021, 418  crossref
  7. Zhe Wang, Tianzhen Hong, Han Li, Mary Ann Piette, “Predicting city-scale daily electricity consumption using data-driven models”, Advances in Applied Energy, 2, 2021, 100025  crossref
  8. Atse Louwen, Juliana Subtil Lacerda, Technological Learning in the Transition to a Low-Carbon Energy System, 2020, 9  crossref
  9. LingYan Meng, Jinshi Li, “Efficient natural resource rents and carbon taxes in BRICS green growth”, Resources Policy, 86, 2023, 104043  crossref
  10. Guoqiang Zhang, Jifeng Guo, “A novel ensemble method for residential electricity demand forecasting based on a novel sample simulation strategy”, Energy, 207, 2020, 118265  crossref
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