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Yunxuan Dong
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Journal Articles
- 2024
- [j8]Yunxuan Dong, Ling Xiao:
Enhancing wind power generation prediction using relevance assessment-based transfer learning. Knowl. Based Syst. 303: 112417 (2024) - 2023
- [j7]Yunxuan Dong, Binggui Zhou, Guanghua Yang, Fen Hou, Zheng Hu, Shaodan Ma:
A novel model for tourism demand forecasting with spatial-temporal feature enhancement and image-driven method. Neurocomputing 556: 126663 (2023) - [j6]Yunxuan Dong, Ling Xiao, Jiasheng Wang, Jujie Wang:
A time series attention mechanism based model for tourism demand forecasting. Inf. Sci. 628: 269-290 (2023) - [j5]Binggui Zhou, Yunxuan Dong, Guanghua Yang, Fen Hou, Zheng Hu, Suxiu Xu, Shaodan Ma:
A graph-attention based spatial-temporal learning framework for tourism demand forecasting. Knowl. Based Syst. 263: 110275 (2023) - 2021
- [j4]Yunxuan Dong, Xuejiao Ma, Tonglin Fu:
Electrical load forecasting: A deep learning approach based on K-nearest neighbors. Appl. Soft Comput. 99: 106900 (2021) - 2020
- [j3]Xuejiao Ma, Yunxuan Dong:
An estimating combination method for interval forecasting of electrical load time series. Expert Syst. Appl. 158: 113498 (2020) - 2019
- [j2]Ling Xiao, Chen Wang, Yunxuan Dong, Jianzhou Wang:
A novel sub-models selection algorithm based on max-relevance and min-redundancy neighborhood mutual information. Inf. Sci. 486: 310-339 (2019) - 2018
- [j1]Yunxuan Dong, Jianzhou Wang, Zhen-hai Guo:
Research and application of local perceptron neural network in highway rectifier for time series forecasting. Appl. Soft Comput. 64: 656-673 (2018)
Conference and Workshop Papers
- 2022
- [c2]Yunxuan Dong, Ling Xiao:
A Combination Model Based Deep Long Term Model for Tourism Demand Forecasting. ASSE 2022: 126-131 - 2021
- [c1]Yunxuan Dong, Binggui Zhou, Guanghua Yang, Fen Hou, Shaodan Ma:
A Spatial-temporal Model for Tourism Demand Forecasting. HPCC/DSS/SmartCity/DependSys 2021: 1810-1814
Informal and Other Publications
- 2024
- [i1]Xuan Yang, Yunxuan Dong, Thomas Wu:
Short-Term Forecasting of Photovoltaic Power Generation Based on Entropy during the Foggy Winter. CoRR abs/2407.19663 (2024)
Coauthor Index
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