Jinxing Che - researchr alias

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Viewing Publication 1 - 24 from 24

2026

2025

Multivariate wind speed forecasting with genetic algorithm-based feature selection and oppositional learning sparrow searchJinxing Che, Wenxin Xia, Yifan Xu, Kun Hu. isci, 695:121736, 2025. [doi]

A novel wind power interval prediction method based on neural ensemble search and dynamic conformalized quantile regressionJianming Hu, Yuwen Deng, Jinxing Che. asc, 180:113476, 2025. [doi]

Enhancing multi-step air quality prediction with deep learning using residual neural network and adaptive decomposition-based multi-objective optimizationKun Hu, Jinxing Che, Wenxin Xia, Yifan Xu, Yuerong Li. eswa, 273:126969, 2025. [doi]

Adaptive weighted multiple imputation with generative adversarial networks for improving wind speed data integrityWeirui Jiang, Jinxing Che, Kun Hu, Yifan Xu, Wei Dong. eaai, 160:111942, 2025. [doi]

Optimal weight support vector regression ensemble with cluster-based subsampling for electricity price forecastingYuerong Li, Yuhua Zhang, Jinxing Che. jifs, 49(1):109-124, 2025. [doi]

A novel linear integral method based on aleatoric uncertainty for short-term wind speed predictionLei Zhou, Jinxing Che, Wei Dong, Xiaoqing Wang, Qinghua Zhang. sivp, 19(15):1274, December 2025. [doi]

2024

2023

2022

Unified whale optimization algorithm based multi-kernel SVR ensemble learning for wind speed forecastingHuafeng Xian, Jinxing Che. asc, 130:109690, 2022. [doi]

An ensemble multi-step M-RMLSSVR model based on VMD and two-group strategy for day-ahead short-term load forecastingFang Yuan, Jinxing Che. kbs, 252:109440, 2022. [doi]

2017

Maximum relevance minimum common redundancy feature selection for nonlinear dataJinxing Che, Youlong Yang, Li Li, Xuying Bai, Shenghu Zhang, Chengzhi Deng. isci, 409:68-86, 2017. [doi]

A modified support vector regression: Integrated selection of training subset and modelJinxing Che, Youlong Yang, Li Li, Yanying Li, Suling Zhu. asc, 53:308-322, 2017. [doi]

2015

Optimal sub-models selection algorithm for combination forecasting modelJinxing Che. ijon, 151:364-375, 2015. [doi]

2013

Support vector regression based on optimal training subset and adaptive particle swarm optimization algorithmJinxing Che. asc, 13(8):3473-3481, 2013. [doi]

2012

Optimal training subset in a support vector regression electric load forecasting modelJinxing Che, Jianzhou Wang, YuJuan Tang. asc, 12(5):1523-1531, 2012. [doi]

2009

Prediction by Integration of Phase Space Reconstruction and a Novel Evolutionary System under Deregulated Power MarketWenyu Zhang, Jinxing Che, Jianzhou Wang, Jinzhao Liang. wkdd 2009: 733-736 [doi]

2008

Chaotic Time Series Forecasting Base on Fuzzy Adaptive PSO for Feedforward Neural Network TrainingWenyu Zhang, Jinzhao Liang, Jianzhou Wang, Jinxing Che. icycs 2008: 3022-3027 [doi]

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