25 citations to https://www.mathnet.ru/rus/at9099
  1. Yichen Lv, Mingyun Gao, Xinping Xiao, “Unbiased forecasting of seasonal wind power generation based on a novel seasonal multivariable grey model”, Renewable Energy, 258 (2026), 124952  crossref
  2. Yuanyuan Yao, Yuhan Shi, Lu Chen, Ziquan Fang, Yunjun Gao, Leong Hou U, Yushuai Li, Tianyi Li, “Moon: A Modality Conversion-Based Efficient Multivariate Time Series Anomaly Detection”, IEEE Trans. Knowl. Data Eng., 38:1 (2026), 457  crossref
  3. Yuxuan Luo, Xianglan Meng, Yutong Zhai, Dongqing Zhang, Kaiping Ma, “Prediction of Water Quality in Agricultural Watersheds Based on VMD-GA-LSTM Model”, Mathematics, 13:12 (2025), 1951  crossref
  4. Yunxuan Dong, Binggui Zhou, Hongcai Zhang, Guanghua Yang, Shaodan Ma, “A deep time-frequency augmented wind power forecasting model”, Renewable Energy, 2025, 123550  crossref
  5. Dang S. Peng L. Zhao J. Li J. Kong Zh., “A Quantile Regression Random Forest-Based Short-Term Load Probabilistic Forecasting Method”, Energies, 15:2 (2022), 663  crossref  isi
  6. He M., Li W., Via B.K., Zhang Ya., “P Nowcasting of Lumber Futures Price With Google Trends Index Using Machine Learning and Deep Learning Models”, For. Prod. J., 72:1 (2022), 11–20  crossref  isi
  7. Tim Leung, Theodore Zhao, “Adaptive complementary ensemble EMD and energy-frequency spectra of cryptocurrency prices”, J. Finan. Eng., 09:01 (2022)  crossref
  8. Shen Ya. Wang P. Wang X. Sun K., “Application of Empirical Mode Decomposition and Extreme Learning Machine Algorithms on Prediction of the Surface Vibration Signal”, Energies, 14:22 (2021), 7519  crossref  isi
  9. Acaroglu H., Garcia Marquez F.P., “Comprehensive Review on Electricity Market Price and Load Forecasting Based on Wind Energy”, Energies, 14:22 (2021), 7473  crossref  isi
  10. Pourdaryaei A., Mohammadi M., Karimi M., Mokhlis H., Illias H.A., Kaboli Seyed Hamidreza Aghay, Ahmad Sh., “Recent Development in Electricity Price Forecasting Based on Computational Intelligence Techniques in Deregulated Power Market”, Energies, 14:19 (2021), 6104  crossref  isi  scopus
1
2
3
Следующая