Jinxing Che
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
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Bibliography
2025
Multivariate wind speed forecasting with genetic algorithm-based feature selection and oppositional learning sparrow search.
Inf. Sci., 2025
Enhancing multi-step air quality prediction with deep learning using residual neural network and adaptive decomposition-based multi-objective optimization.
Expert Syst. Appl., 2025
A novel wind power interval prediction method based on neural ensemble search and dynamic conformalized quantile regression.
Appl. Soft Comput., 2025
2024
Optimal weight random forest ensemble with Fuzzy C-means cluster-based subsampling for carbon price forecasting.
J. Intell. Fuzzy Syst., January, 2024
A synchronized multi-step wind speed prediction with adaptive features and parameters selection: Insights from an interaction model.
Expert Syst. Appl., 2024
Short-term air quality prediction using point and interval deep learning systems coupled with multi-factor decomposition and data-driven tree compression.
Appl. Soft Comput., 2024
2023
A parsimonious ensemble with optimal deep learning and secondary decomposition for short-term wind speed forecasting.
J. Intell. Fuzzy Syst., December, 2023
Deterministic and probabilistic multi-time-scale forecasting of wind speed based on secondary decomposition, DFIGR and a hybrid deep learning method.
Expert Syst. Appl., December, 2023
A novel decomposition-denoising ANFIS model based on singular spectrum analysis and differential evolution algorithm for seasonal AQI forecasting.
J. Intell. Fuzzy Syst., 2023
2022
An ensemble multi-step M-RMLSSVR model based on VMD and two-group strategy for day-ahead short-term load forecasting.
Knowl. Based Syst., 2022
Unified whale optimization algorithm based multi-kernel SVR ensemble learning for wind speed forecasting.
Appl. Soft Comput., 2022
2017
Inf. Sci., 2017
A modified support vector regression: Integrated selection of training subset and model.
Appl. Soft Comput., 2017
2015
Neurocomputing, 2015
2013
Support vector regression based on optimal training subset and adaptive particle swarm optimization algorithm.
Appl. Soft Comput., 2013
2012
Optimal training subset in a support vector regression electric load forecasting model.
Appl. Soft Comput., 2012
2009
Prediction by Integration of Phase Space Reconstruction and a Novel Evolutionary System under Deregulated Power Market.
Proceedings of the Second International Workshop on Knowledge Discovery and Data Mining, 2009
2008
Chaotic Time Series Forecasting Base on Fuzzy Adaptive PSO for Feedforward Neural Network Training.
Proceedings of the 9th International Conference for Young Computer Scientists, 2008
Research on Real Estate Early Warning System Based on Decision Tree and Fuzzy Recognition Theory.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008