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2020 – today
- 2025
[j119]Jianzhou Wang, Menggang Kou, Runze Li, Yuansheng Qian, Zhiwu Li:
Ultra-short-term wind power forecasting jointly driven by anomaly detection, clustering and graph convolutional recurrent neural networks. Adv. Eng. Informatics 65: 103137 (2025)- [j118]Wendong Yang, Hao Zhang, Jianzhou Wang, Yan Hao:
A new perspective on non-ferrous metal price forecasting: An interpretable two-stage ensemble learning-based interval-valued forecasting system. Adv. Eng. Informatics 65: 103267 (2025) - [j117]Huiyu Cui, Lifang Zhang
, Hufang Yang, Jianzhou Wang, Zhenkun Liu:
Maximizing the lender's profit: profit-oriented loan default prediction based on a weighting model. Ann. Oper. Res. 353(2): 727-760 (2025) - [j116]Mengzheng Lv, Jianzhou Wang, Shuai Wang, Yang Zhao, Jialu Gao, Yuansheng Qian:
An interpretable dual-output multivariate wind speed interval prediction scheme using hyper-heuristic optimization algorithm and deep neural networks. Appl. Soft Comput. 185: 113829 (2025) - [j115]Yan Xu, Tianli Liu, Qi Fang, Pei Du, Jianzhou Wang:
Crude oil price forecasting with multivariate selection, machine learning, and a nonlinear combination strategy. Eng. Appl. Artif. Intell. 139: 109510 (2025) - [j114]Lifang Zhang, Ye Xuan, Zhenkun Liu, Zhiyuan Du, Shuai Wang, Jianzhou Wang:
A hybrid ensemble model to detect Bitcoin fraudulent transactions. Eng. Appl. Artif. Intell. 141: 109810 (2025) - [j113]Bo Zeng, Fengfeng Yin, Jianzhou Wang, Wei Meng:
Prediction and rationality analysis of new energy vehicle sales in China with a novel intelligent buffer operator. Eng. Appl. Artif. Intell. 143: 110030 (2025) - [j112]Qi Dong, Rubing Huang, Chenhui Cui, Dave Towey, Ling Zhou, Jinyu Tian, Jianzhou Wang:
Short-Term Electricity-Load Forecasting by deep learning: A comprehensive survey. Eng. Appl. Artif. Intell. 154: 110980 (2025) - [j111]Pei Du, Fangrui Gui, Lijie Shan, Qianyi Xing, Jianzhou Wang:
Probabilistic forecasting of non-ferrous metal prices based on outlier treatment algorithms, quantile regression based deep learning and two-phase multi-objective optimization. Eng. Appl. Artif. Intell. 161: 112277 (2025) - [j110]Menggang Kou, Jianzhou Wang, Jingrui Li, Runze Li, Zhiwu Li:
A framework for photovoltaic power forecasting based on hybrid data reconstruction, neural network models fusion, and multi-objective optimization. Eng. Appl. Artif. Intell. 162: 112400 (2025) - [j109]Yang Zhao, Jianzhou Wang, Yong Wang, Mengzheng Lv:
How to optimize modern portfolio theory? A systematic review and research agenda. Expert Syst. Appl. 263: 125780 (2025) - [j108]Pei Du, Yuxin Ye, Han Wu, Jianzhou Wang:
Study on deterministic and interval forecasting of electricity load based on multi-objective whale optimization algorithm and transformer model. Expert Syst. Appl. 268: 126361 (2025) - [j107]Linyue Zhang, Jianzhou Wang, Jingrui Li, Yuansheng Qian, Zhiwu Li:
Probabilistic prediction system based on quantile deep learning model and multi-level information recognition. Expert Syst. Appl. 272: 126734 (2025) - [j106]Mingyang Ji, Juntao Du, Pei Du, Tong Niu, Jianzhou Wang:
A novel carbon price forecasting model integrating mixed-frequency modeling into the transformer architecture from a multi-factor perspective. Expert Syst. Appl. 289: 128300 (2025) - [j105]Yao Dong, Kai Liu, He Jiang, Yawei Dong, Jianzhou Wang:
Power load forecasting using deep learning and reinforcement learning. Inf. Sci. 720: 122523 (2025) - [j104]Yao Dong, He Jiang, Sheng Pan, Jianzhou Wang:
Graph-constrained quantile regression: Unifying structured regularization and robust modeling for enhanced accuracy and interpretability. Inf. Sci. 720: 122530 (2025) - [j103]Mengzheng Lv, Jianzhou Wang, Shuai Wang, Kang Wang, Yang Zhao, Jialu Gao:
A multi-input and three-output wind speed point-interval prediction system based on constrained many-objective optimization problem. Inf. Sci. 720: 122531 (2025) - [j102]Yamei Chen, Jianzhou Wang, Runze Li, Bo Zeng, Haiyan Lu:
Wind power generation forecasting system based on multi-model intelligent fusion strategy and probabilistic forecasting technology. Neural Networks 192: 107884 (2025) - [j101]Xinjie Shi, Jianzhou Wang, Jialu Gao:
Multimodal Optimization Forecasting Model Based on Intelligent Fuzzy Interval Reconstruction. Oper. Res. Forum 6(3): 135 (2025) - [j100]Tong Niu, Hui Yue, Tarek AlSkaif, Mingjian Cui, Jianzhou Wang:
ETDS: A Novel Electricity Theft Detection System for Highly Unbalanced Data in Smart Grids. IEEE Trans. Ind. Informatics 21(3): 2114-2123 (2025) - [j99]Wentao Wang, Haiyan Lu, Ayesha Ubaid, Jianzhou Wang:
A complementary time-frequency domain approach for short-term photovoltaic power forecasting. J. Supercomput. 81(11): 1165 (2025) - [c9]Jianzhou Wang, Yirui Wu, Lixin Yuan, Wenxiao Zhang, Jun Liu, Junyang Chen, Huan Wang, Wenhai Wang:
Diffuse&Refine: Intrinsic Knowledge Generation and Aggregation for Incremental Object Detection. IJCAI 2025: 6289-6297 - [c8]Xiaoqing Zhang, Yuhan Liu, Jianzhou Wang, Zhenxing Hu, Xiuying Chen, Rui Yan:
SAGraph: A Large-Scale Social Graph Dataset with Comprehensive Context for Influencer Selection in Marketing. SIGIR 2025: 3733-3742 - [i8]Kimi Team, Angang Du, Bofei Gao, Bowei Xing, Changjiu Jiang, Cheng Chen, Cheng Li, Chenjun Xiao, Chenzhuang Du, Chonghua Liao, Chuning Tang, Congcong Wang, Dehao Zhang, Enming Yuan, Enzhe Lu, Fengxiang Tang, Flood Sung, Guangda Wei, Guokun Lai, Haiqing Guo, Han Zhu, Hao Ding, Hao Hu, Hao Yang, Hao Zhang, Haotian Yao, Haotian Zhao, Haoyu Lu, Haoze Li, Haozhen Yu, Hongcheng Gao, Huabin Zheng, Huan Yuan, Jia Chen, Jianhang Guo, Jianlin Su, Jianzhou Wang, Jie Zhao, Jin Zhang, Jingyuan Liu, Junjie Yan, Junyan Wu, Lidong Shi, Ling Ye, Longhui Yu, Mengnan Dong, Neo Zhang, Ningchen Ma, Qiwei Pan, Qucheng Gong, Shaowei Liu, Shengling Ma, Shupeng Wei, Sihan Cao, Siying Huang, Tao Jiang, Weihao Gao, Weimin Xiong, Weiran He, Weixiao Huang, Wenhao Wu, Wenyang He, Xianghui Wei, Xianqing Jia, Xingzhe Wu, Xinran Xu, Xinxing Zu, Xinyu Zhou, Xuehai Pan, Y. Charles, Yang Li, Yangyang Hu, Yangyang Liu, Yanru Chen, Yejie Wang, Yibo Liu, Yidao Qin, Yifeng Liu, Ying Yang, Yiping Bao, Yulun Du, Yuxin Wu, Yuzhi Wang, Zaida Zhou, Zhaoji Wang, Zhaowei Li, Zhen Zhu, Zheng Zhang, Zhexu Wang, Zhilin Yang, Zhiqi Huang, Zihao Huang, Ziyao Xu, Zonghan Yang:
Kimi k1.5: Scaling Reinforcement Learning with LLMs. CoRR abs/2501.12599 (2025) - [i7]Jingyuan Liu, Jianlin Su, Xingcheng Yao, Zhejun Jiang, Guokun Lai, Yulun Du, Yidao Qin, Weixin Xu, Enzhe Lu, Junjie Yan, Yanru Chen, Huabin Zheng, Yibo Liu, Shaowei Liu, Bohong Yin, Weiran He, Han Zhu, Yuzhi Wang, Jianzhou Wang, Mengnan Dong, Zheng Zhang, Yongsheng Kang, Hao Zhang, Xinran Xu, Yutao Zhang, Yuxin Wu, Xinyu Zhou, Zhilin Yang:
Muon is Scalable for LLM Training. CoRR abs/2502.16982 (2025) - [i6]Angang Du, Bohong Yin, Bowei Xing, Bowen Qu, Bowen Wang, Cheng Chen, Chenlin Zhang, Chenzhuang Du, Chu Wei, Congcong Wang, Dehao Zhang, Dikang Du, Dongliang Wang, Enming Yuan, Enzhe Lu, Fang Li, Flood Sung, Guangda Wei, Guokun Lai, Han Zhu, Hao Ding, Hao Hu, Hao Yang, Hao Zhang, Haoning Wu, Haotian Yao, Haoyu Lu, Heng Wang, Hongcheng Gao, Huabin Zheng, Jiaming Li, Jianlin Su, Jianzhou Wang, Jiaqi Deng, Jiezhong Qiu, Jin Xie, Jinhong Wang, Jingyuan Liu, Junjie Yan, Kun Ouyang, Liang Chen, Lin Sui, Longhui Yu, Mengfan Dong, Mengnan Dong, Nuo Xu, Pengyu Cheng, Qizheng Gu, Runjie Zhou, Shaowei Liu, Sihan Cao, Tao Yu, Tianhui Song, Tongtong Bai, Wei Song, Weiran He, Weixiao Huang, Weixin Xu, Xiaokun Yuan, Xingcheng Yao, Xingzhe Wu, Xinxing Zu, Xinyu Zhou, Xinyuan Wang, Y. Charles, Yan Zhong, Yang Li, Yangyang Hu, Yanru Chen, Yejie Wang, Yibo Liu, Yibo Miao, Yidao Qin, Yimin Chen, Yiping Bao, Yiqin Wang, Yongsheng Kang, Yuanxin Liu, Yulun Du, Yuxin Wu, Yuzhi Wang, Yuzi Yan, Zaida Zhou, Zhaowei Li, Zhejun Jiang, Zheng Zhang, Zhilin Yang, Zhiqi Huang, Zihao Huang, Zijia Zhao, Ziwei Chen, Zongyu Lin:
Kimi-VL Technical Report. CoRR abs/2504.07491 (2025) - [i5]KimiTeam, Ding Ding, Zeqian Ju, Yichong Leng, Songxiang Liu, Tong Liu, Zeyu Shang, Kai Shen, Wei Song, Xu Tan, Heyi Tang, Zhengtao Wang, Chu Wei, Yifei Xin, Xinran Xu, Jianwei Yu, Yutao Zhang, Xinyu Zhou, Y. Charles, Jun Chen, Yanru Chen, Yulun Du, Weiran He, Zhenxing Hu, Guokun Lai, Qingcheng Li, Yangyang Liu, Weidong Sun, Jianzhou Wang, Yuzhi Wang, Yuefeng Wu, Yuxin Wu, Dongchao Yang, Hao Yang, Ying Yang, Zhilin Yang, Aoxiong Yin, Ruibin Yuan, Yutong Zhang, Zaida Zhou:
Kimi-Audio Technical Report. CoRR abs/2504.18425 (2025) - 2024
- [j98]Huiyu Cui, Lifang Zhang, Hufang Yang, Jianzhou Wang, Zhenkun Liu:
Correction: Maximizing the lender's profit: profit-oriented loan default prediction based on a weighting model. Ann. Oper. Res. 341(2): 1335-1336 (2024) - [j97]ShiWen Wang, Jianzhou Wang, Bo Zeng, Weigang Zhao:
A structure for predicting wind speed using fuzzy granulation and optimization techniques. Appl. Intell. 54(5): 3859-3883 (2024) - [j96]Yang Zhao, Jianzhou Wang, Tong Niu, Ying Wang, Mengzheng Lv:
A novel fuzzification-forecasting-optimization ensemble system for wind speed based on fuzzy theory and a multiobjective optimizer. Appl. Intell. 54(23): 12037-12066 (2024) - [j95]Peiqi Sun, Zhenkun Liu, Jianzhou Wang, Weigang Zhao:
Interval forecasting for wind speed using a combination model based on multiobjective artificial hummingbird algorithm. Appl. Soft Comput. 150: 111090 (2024) - [j94]Yunbo Niu, Jianzhou Wang, Ziyuan Zhang, Yannan Yu, Jingjiang Liu:
A combined interval prediction system based on fuzzy strategy and neural network for wind speed. Appl. Soft Comput. 155: 111408 (2024) - [j93]Yurui Xia, Jianzhou Wang, Ziyuan Zhang, Danxiang Wei, Zhining Cao, Zhiwu Li:
A wind speed point-interval fuzzy forecasting system based on data decomposition and multiobjective optimizer. Appl. Soft Comput. 165: 112084 (2024) - [j92]Lei Gu, Jianzhou Wang, Jingjiang Liu:
A combined system based on data preprocessing and optimization algorithm for electricity load forecasting. Comput. Ind. Eng. 191: 110114 (2024) - [j91]Shoujiang Li, Jianzhou Wang, Hui Zhang, Yong Liang:
Solar photovoltaic power forecasting system with online manner based on adaptive mode decomposition and multi-objective optimization. Comput. Electr. Eng. 118: 109407 (2024) - [j90]Jingjiang Liu, Jianzhou Wang, Yunbo Niu, Boqian Ji, Lei Gu:
A point-interval wind speed forecasting system based on fuzzy theory and neural networks architecture searching strategy. Eng. Appl. Artif. Intell. 132: 107906 (2024) - [j89]Zhining Cao, Jianzhou Wang, Yurui Xia:
Combined electricity load-forecasting system based on weighted fuzzy time series and deep neural networks. Eng. Appl. Artif. Intell. 132: 108375 (2024) - [j88]Yao Dong, He Jiang, Yunting Guo, Jianzhou Wang:
A novel crude oil price forecasting model using decomposition and deep learning networks. Eng. Appl. Artif. Intell. 133: 108111 (2024) - [j87]Bo Zeng, Tingting Zheng, Xiaozeng Xu, Jianzhou Wang:
A novel structure grey prediction model with strong compatibility and its application in forecasting the annual average concentration of particulate matter in Beijing. Eng. Appl. Artif. Intell. 136: 108974 (2024) - [j86]Jianzhou Wang, Yuanyuan Shao, He Jiang, Yining An:
A multi-variable hybrid system for port container throughput deterministic and uncertain forecasting. Expert Syst. Appl. 237(Part B): 121546 (2024) - [j85]Kang Wang, Yanru Liu, Qianyi Xing, Yuansheng Qian, Jianzhou Wang, Mengzheng Lv:
An integrated system to significant wave height prediction: Combining feature engineering, multi-criteria decision making, and hybrid kernel density estimation. Expert Syst. Appl. 241: 122351 (2024) - [j84]Xinyu Wang, Jianzhou Wang, Xinsong Niu, Chunying Wu:
Novel wind-speed prediction system based on dimensionality reduction and nonlinear weighting strategy for point-interval prediction. Expert Syst. Appl. 241: 122477 (2024) - [j83]Jianzhou Wang, Xinsong Niu, Lifang Zhang, Zhenkun Liu, Xiaojia Huang:
A wind speed forecasting system for the construction of a smart grid with two-stage data processing based on improved ELM and deep learning strategies. Expert Syst. Appl. 241: 122487 (2024) - [j82]Yan Hao, Xiaodi Wang, Jianzhou Wang, Wendong Yang:
A novel interval-valued carbon price analysis and forecasting system based on multi-objective ensemble strategy for carbon trading market. Expert Syst. Appl. 244: 122912 (2024) - [j81]Jialu Gao, Jianzhou Wang, Yilin Zhou, Mengzheng Lv, Danxiang Wei:
Enhancing investment performance of Black-Litterman model with AI hybrid system: Can it be done? Expert Syst. Appl. 244: 122924 (2024) - [j80]Qianyi Xing, Xiaojia Huang, Jianzhou Wang, Shuai Wang:
A novel multivariate combined power load forecasting system based on feature selection and multi-objective intelligent optimization. Expert Syst. Appl. 244: 122970 (2024) - [j79]Mengzheng Lv, Jianzhou Wang, Shuai Wang, Jialu Gao, Honggang Guo:
Developing a hybrid system for stock selection and portfolio optimization with many-objective optimization based on deep learning and improved NSGA-III. Inf. Sci. 670: 120549 (2024) - [j78]Haipeng Zhang, Jianzhou Wang, Ying Nie:
A novel optimization model based on fuzzy time series for short-term Air Quality Index forecasting. Knowl. Based Syst. 296: 111905 (2024) - [j77]Haipeng Zhang, Jianzhou Wang, Qiwei Li:
Nonlinear fuzzy forecasting system for wind speed interval forecasting based on self-adaption feature selecting and Bi-LSTM. Signal Image Video Process. 18(2): 1249-1258 (2024) - [i4]Xiaoqing Zhang, Xiuying Chen, Yuhan Liu, Jianzhou Wang, Zhenxing Hu, Rui Yan:
LLM-Driven Agents for Influencer Selection in Digital Advertising Campaigns. CoRR abs/2403.15105 (2024) - [i3]Qi Dong, Rubing Huang, Chenhui Cui, Dave Towey, Ling Zhou, Jinyu Tian, Jianzhou Wang:
Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Survey. CoRR abs/2408.16202 (2024) - [i2]Xiaoqing Zhang, Xiuying Chen, Yuhan Liu, Jianzhou Wang, Zhenxing Hu, Rui Yan:
A Large-scale Time-aware Agents Simulation for Influencer Selection in Digital Advertising Campaigns. CoRR abs/2411.01143 (2024) - 2023
- [j76]Shoujiang Li, Jianzhou Wang, Hui Zhang, Yong Liang:
Short-term load forecasting system based on sliding fuzzy granulation and equilibrium optimizer. Appl. Intell. 53(19): 21606-21640 (2023) - [j75]Yurui Xia, Jianzhou Wang, Ziyuan Zhang, Danxiang Wei, Li Yin:
Short-term PV power forecasting based on time series expansion and high-order fuzzy cognitive maps. Appl. Soft Comput. 135: 110037 (2023) - [j74]Jianzhou Wang, Kang Wang, Zhiwu Li, Haiyan Lu, He Jiang:
Short-term power load forecasting system based on rough set, information granule and multi-objective optimization. Appl. Soft Comput. 146: 110692 (2023) - [j73]Zhining Cao, Jianzhou Wang, Li Yin, Danxiang Wei, Yiyao Xiao:
A hybrid electricity load prediction system based on weighted fuzzy time series and multi-objective differential evolution. Appl. Soft Comput. 149(Part B): 111007 (2023) - [j72]Yuhuan Sun, Jiao Ding, Zhenkun Liu, Jianzhou Wang:
Combined forecasting tool for renewable energy management in sustainable supply chains. Comput. Ind. Eng. 179: 109237 (2023) - [j71]Yurui Xia, Jianzhou Wang, Danxiang Wei, Ziyuan Zhang:
Combined framework based on data preprocessing and multi-objective optimizer for electricity load forecasting. Eng. Appl. Artif. Intell. 119: 105776 (2023) - [j70]Ziyuan Zhang, Jianzhou Wang, Danxiang Wei, Yurui Xia:
An improved temporal convolutional network with attention mechanism for photovoltaic generation forecasting. Eng. Appl. Artif. Intell. 123(Part A): 106273 (2023) - [j69]Yuyang Gao, Ping Li, Hufang Yang, Jianzhou Wang:
A solar radiation intelligent forecasting framework based on feature selection and multivariable fuzzy time series. Eng. Appl. Artif. Intell. 126: 106986 (2023) - [j68]Jianzhou Wang, Honggang Guo, Aiyi Song:
Photovoltaic power combination prediction system based on improved multi-objective optimization algorithm and nonlinear weighting strategy. Expert Syst. J. Knowl. Eng. 40(3) (2023) - [j67]Zhenkun Liu, Ping Li, Danxiang Wei, Jianzhou Wang, Lifang Zhang, Xinsong Niu:
Forecasting system with sub-model selection strategy for photovoltaic power output forecasting. Earth Sci. Informatics 16(1): 287-313 (2023) - [j66]Jianzhou Wang, Qiwei Li, Haipeng Zhang, Ying Wang:
A deep-learning wind speed interval forecasting architecture based on modified scaling approach with feature ranking and two-output gated recurrent unit. Expert Syst. Appl. 211: 118419 (2023) - [j65]Lifang Zhang, Jianzhou Wang, Zhenkun Liu:
What should lenders be more concerned about? Developing a profit-driven loan default prediction model. Expert Syst. Appl. 213(Part): 118938 (2023) - [j64]Jianzhou Wang, Mengzheng Lv, Zhiwu Li, Bo Zeng:
Multivariate selection-combination short-term wind speed forecasting system based on convolution-recurrent network and multi-objective chameleon swarm algorithm. Expert Syst. Appl. 214: 119129 (2023) - [j63]Jianzhou Wang, Yilin Zhou, He Jiang:
A novel interval forecasting system based on multi-objective optimization and hybrid data reconstruct strategy. Expert Syst. Appl. 217: 119539 (2023) - [j62]Qianyi Xing, Jianzhou Wang, He Jiang, Kang Wang:
Research of a novel combined deterministic and probabilistic forecasting system for air pollutant concentration. Expert Syst. Appl. 228: 120117 (2023) - [j61]Ping Jiang, Zhenkun Liu, Lifang Zhang, Jianzhou Wang:
Hybrid model for profit-driven churn prediction based on cost minimization and return maximization. Expert Syst. Appl. 228: 120354 (2023) - [j60]Mengzheng Lv, Jianzhou Wang, Xinsong Niu, Haiyan Lu:
A newly combination model based on data denoising strategy and advanced optimization algorithm for short-term wind speed prediction. J. Ambient Intell. Humaniz. Comput. 14(7): 8271-8290 (2023) - [j59]Jiatong Liu, Jianzhou Wang, Shuai Wang, Weigang Zhao:
Wind speed point prediction and interval prediction method based on linear prediction model, neural network, and deep learning. J. Ambient Intell. Humaniz. Comput. 14(7): 9207-9216 (2023) - [j58]Wenhao Zhou, Bo Zeng, You Wu, Jianzhou Wang, Hailin Li, Zhiwei Zhang:
Application of the three-parameter discrete direct grey model to forecast China's natural gas consumption. Soft Comput. 27(6): 3213-3228 (2023) - [j57]Tong Niu, Jianzhou Wang, Pei Du, Wendong Yang:
WPFSAD: Wind Power Forecasting System Integrating Dual-Stage Attention and Deep Learning. IEEE Trans. Ind. Informatics 19(11): 11252-11264 (2023) - 2022
- [j56]Jianzhou Wang, Rui Wang, Zhiwu Li:
A combined forecasting system based on multi-objective optimization and feature extraction strategy for hourly PM2.5 concentration. Appl. Soft Comput. 114: 108034 (2022) - [j55]Jianzhou Wang, Haipeng Zhang, Hua Luo:
Research on the construction of stock portfolios based on multiobjective water cycle algorithm and KMV algorithm. Appl. Soft Comput. 115: 108186 (2022) - [j54]Xinsong Niu, Jianzhou Wang, Lifang Zhang:
Carbon price forecasting system based on error correction and divide-conquer strategies. Appl. Soft Comput. 118: 107935 (2022) - [j53]Ping Jiang, Zhenkun Liu, Lifang Zhang, Jianzhou Wang:
Advanced traffic congestion early warning system based on traffic flow forecasting and extenics evaluation. Appl. Soft Comput. 118: 108544 (2022) - [j52]Yuyang Gao, Jianzhou Wang, Xiaobo Zhang, Ranran Li:
Ensemble wind speed prediction system based on envelope decomposition method and fuzzy inference evaluation of predictability. Appl. Soft Comput. 124: 109010 (2022) - [j51]Jianzhou Wang, Ying Wang, Zhiwu Li, Hongmin Li, Hufang Yang:
Design of a combined system based on multi-objective optimization for point and interval forecasting of air pollution. Expert Syst. Appl. 191: 116345 (2022) - [j50]Jianzhou Wang, Yuyang Gao:
An integrated forecasting system based on knee-based multi-objective optimization for solar radiation interval forecasting. Expert Syst. Appl. 198: 116934 (2022) - [j49]Jianzhou Wang, Lifang Zhang, Zhenkun Liu, Xinsong Niu:
A novel decomposition-ensemble forecasting system for dynamic dispatching of smart grid with sub-model selection and intelligent optimization. Expert Syst. Appl. 201: 117201 (2022) - [j48]Jianzhou Wang, Haipeng Zhang, Qiwei Li, Aini Ji:
Design and research of hybrid forecasting system for wind speed point forecasting and fuzzy interval forecasting. Expert Syst. Appl. 209: 118384 (2022) - [j47]Dong Li, Li Yin, Jianzhou Wang, Naiqi Wu:
Game current-state opacity formulation in probabilistic resource automata. Inf. Sci. 613: 96-113 (2022) - [j46]Hongmin Li, Jianzhou Wang, Hufang Yang, Ying Wang:
Air quality deterministic and probabilistic forecasting system based on hesitant fuzzy sets and nonlinear robust outlier correction. Knowl. Based Syst. 237: 107789 (2022) - [j45]Yan Hao, Yilin Zhou, Jialu Gao, Jianzhou Wang:
A Novel Air Pollutant Concentration Prediction System Based on Decomposition-Ensemble Mode and Multi-Objective Optimization for Environmental System Management. Syst. 10(5): 139 (2022) - 2021
- [j44]Jianzhou Wang, Zishu Cheng:
Wind speed interval prediction model based on variational mode decomposition and multi-objective optimization. Appl. Soft Comput. 113(Part): 107848 (2021) - [j43]Jianzhou Wang, Lifang Zhang, Chen Wang, Zhenkun Liu:
A regional pretraining-classification-selection forecasting system for wind power point forecasting and interval forecasting. Appl. Soft Comput. 113(Part): 107941 (2021) - [j42]Jianzhou Wang, Hongmin Li, Ying Wang, Haiyan Lu:
A hesitant fuzzy wind speed forecasting system with novel defuzzification method and multi-objective optimization algorithm. Expert Syst. Appl. 168: 114364 (2021) - [j41]Zhenkun Liu, Ping Jiang, Jianzhou Wang, Lifang Zhang:
Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm. Expert Syst. Appl. 177: 114974 (2021) - [j40]Jianzhou Wang, Jochen Lang:
Visual Multi-Face Tracking Applied to Council Proceedings. IEEE Instrum. Meas. Mag. 24(3): 78-84 (2021) - [j39]Qiwei Li, Jianzhou Wang, Haipeng Zhang:
A wind speed interval forecasting system based on constrained lower upper bound estimation and parallel feature selection. Knowl. Based Syst. 231: 107435 (2021) - [j38]Pei Du, Jianzhou Wang, Tong Niu, Wendong Yang:
PM2.5 prediction and related health effects and economic cost assessments in 2020 and 2021: Case studies in Jing-Jin-Ji, China. Knowl. Based Syst. 233: 107487 (2021) - [j37]Tong Niu, Jianzhou Wang, Haiyan Lu, Wendong Yang, Pei Du:
A Learning System Integrating Temporal Convolution and Deep Learning for Predictive Modeling of Crude Oil Price. IEEE Trans. Ind. Informatics 17(7): 4602-4612 (2021) - 2020
- [j36]He Bo, Ying Nie, Jianzhou Wang:
Electric Load Forecasting Use a Novelty Hybrid Model on the Basic of Data Preprocessing Technique and Multi-Objective Optimization Algorithm. IEEE Access 8: 13858-13874 (2020) - [j35]Tongji Guo, Lifang Zhang, Zhenkun Liu, Jianzhou Wang:
A Combined Strategy for Wind Speed Forecasting Using Data Preprocessing and Weight Coefficients Optimization Calculation. IEEE Access 8: 33039-33059 (2020) - [j34]Xiaohui He, Ying Nie, Hengliang Guo, Jianzhou Wang:
Research on a Novel Combination System on the Basis of Deep Learning and Swarm Intelligence Optimization Algorithm for Wind Speed Forecasting. IEEE Access 8: 51482-51499 (2020) - [j33]Wendong Yang, Jianzhou Wang, Tong Niu, Pei Du:
A novel system for multi-step electricity price forecasting for electricity market management. Appl. Soft Comput. 88: 106029 (2020) - [j32]Jianzhou Wang, Tong Niu, Pei Du, Wendong Yang:
Ensemble probabilistic prediction approach for modeling uncertainty in crude oil price. Appl. Soft Comput. 95: 106509 (2020) - [j31]Pei Du, Jianzhou Wang, Yan Hao, Tong Niu, Wendong Yang:
A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting. Appl. Soft Comput. 96: 106620 (2020) - [j30]Jianzhou Wang, Xinsong Niu, Zhenkun Liu, Lifang Zhang:
Analysis of the influence of international benchmark oil price on China's real exchange rate forecasting. Eng. Appl. Artif. Intell. 94: 103783 (2020) - [j29]Tong Niu, Jianzhou Wang, Haiyan Lu, Wendong Yang, Pei Du:
Developing a deep learning framework with two-stage feature selection for multivariate financial time series forecasting. Expert Syst. Appl. 148: 113237 (2020)
2010 – 2019
- 2019
- [j28]Lifang Zhang, Yao Dong, Jianzhou Wang:
Wind Speed Forecasting Using a Two-Stage Forecasting System With an Error Correcting and Nonlinear Ensemble Strategy. IEEE Access 7: 176000-176023 (2019) - [j27]He Bo, Xinsong Niu, Jianzhou Wang:
Wind Speed Forecasting System Based on the Variational Mode Decomposition Strategy and Immune Selection Multi-Objective Dragonfly Optimization Algorithm. IEEE Access 7: 178063-178081 (2019) - [j26]Pei Du, Jianzhou Wang, Wendong Yang, Tong Niu:
A novel hybrid model for short-term wind power forecasting. Appl. Soft Comput. 80: 93-106 (2019) - [j25]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) - [j24]Tao Ma, Chen Wang, Jianzhou Wang, Jianjun Cheng, Xiaoyun Chen:
Particle-swarm optimization of ensemble neural networks with negative correlation learning for forecasting short-term wind speed of wind farms in western China. Inf. Sci. 505: 157-182 (2019) - [j23]Pei Du, Jianzhou Wang, Wendong Yang, Tong Niu:
Container throughput forecasting using a novel hybrid learning method with error correction strategy. Knowl. Based Syst. 182 (2019) - [i1]Pei Du, Jianzhou Wang, Yan Hao, Tong Niu, Wendong Yang:
A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting. CoRR abs/1905.13550 (2019) - 2018
- [j22]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) - [j21]Xiaobo Zhang, Jianzhou Wang:
A novel decomposition‐ensemble model for forecasting short‐term load‐time series with multiple seasonal patterns. Appl. Soft Comput. 65: 478-494 (2018) - [j20]Jianzhou Wang, Hongmin Li, Haiyan Lu:
Application of a novel early warning system based on fuzzy time series in urban air quality forecasting in China. Appl. Soft Comput. 71: 783-799 (2018) - [j19]Jianzhou Wang, Pei Du, Haiyan Lu, Wendong Yang, Tong Niu:
An improved grey model optimized by multi-objective ant lion optimization algorithm for annual electricity consumption forecasting. Appl. Soft Comput. 72: 321-337 (2018) - 2017
- [j18]Qianru Wang, Li Liu, Shu Wang, Jianzhou Wang, Ming Liu:
Predicting Beijing's tertiary industry with an improved grey model. Appl. Soft Comput. 57: 482-494 (2017) - [j17]Wendong Yang, Jianzhou Wang, Rui Wang:
Research and Application of a Novel Hybrid Model Based on Data Selection and Artificial Intelligence Algorithm for Short Term Load Forecasting. Entropy 19(2): 52 (2017) - [j16]Jianzhou Wang, Xiaobo Zhang, Zhen-hai Guo, Haiyan Lu:
Developing an early-warning system for air quality prediction and assessment of cities in China. Expert Syst. Appl. 84: 102-116 (2017) - [j15]Dingqi Yan, Qi Zhou, Jianzhou Wang, Na Zhang:
Bayesian regularisation neural network based on artificial intelligence optimisation. Int. J. Prod. Res. 55(8): 2266-2287 (2017) - [j14]Tao Ma, Fen Wang, Jianzhou Wang, Yukai Yao, Xiaoyun Chen:
A combined model based on seasonal autoregressive integrated moving average and modified particle swarm optimization algorithm for electrical load forecasting. J. Intell. Fuzzy Syst. 32(5): 3447-3459 (2017) - 2016
- [j13]Jianzhou Wang, Feng Liu, Yiliao Song, Jing Zhao:
A novel model: Dynamic choice artificial neural network (DCANN) for an electricity price forecasting system. Appl. Soft Comput. 48: 281-297 (2016) - [j12]Jianzhou Wang, Ru Hou, Chen Wang, Lin Shen:
Improved v -Support vector regression model based on variable selection and brain storm optimization for stock price forecasting. Appl. Soft Comput. 49: 164-178 (2016) - [j11]Li Liu, Qianru Wang, Jianzhou Wang, Ming Liu:
A Rolling Grey Model Optimized by Particle Swarm Optimization in Economic Prediction. Comput. Intell. 32(3): 391-419 (2016) - 2015
- [j10]Xing Lu, Jianzhou Wang, Yuan Cai, Jing Zhao:
Distributed HS-ARTMAP and its forecasting model for electricity load. Appl. Soft Comput. 32: 13-22 (2015) - 2014
- [j9]Jujie Wang, Wenyu Zhang, Yaning Li, Jianzhou Wang, Zhangli Dang:
Forecasting wind speed using empirical mode decomposition and Elman neural network. Appl. Soft Comput. 23: 452-459 (2014) - [j8]Jujie Wang, Wenyu Zhang, Jianzhou Wang, Tingting Han, Lingbin Kong:
A novel hybrid approach for wind speed prediction. Inf. Sci. 273: 304-318 (2014) - [j7]Chao Ren, Ning An, Jianzhou Wang, Lian Li, Bin Hu, Duo Shang:
Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting. Knowl. Based Syst. 56: 226-239 (2014) - 2013
- [j6]Wenyu Zhang, Jujie Wang, Jianzhou Wang, Zengbao Zhao, Meng Tian:
Short-term wind speed forecasting based on a hybrid model. Appl. Soft Comput. 13(7): 3225-3233 (2013) - 2011
- [j5]Jianzhou Wang, Suling Zhu, Weigang Zhao, Wenjin Zhu:
Optimal parameters estimation and input subset for grey model based on chaotic particle swarm optimization algorithm. Expert Syst. Appl. 38(7): 8151-8158 (2011) - [j4]Jianzhou Wang, Dezhong Chi, Jie Wu, Haiyan Lu:
Chaotic time series method combined with particle swarm optimization and trend adjustment for electricity demand forecasting. Expert Syst. Appl. 38(7): 8419-8429 (2011) - [j3]Jianli Dong, Ningguo Shi, Jianzhou Wang:
Research and Application on Multi-Layer Matter-Element Extension Synthesis Evaluation Method for Software Quality. J. Softw. 6(9): 1866-1872 (2011) - [j2]Zhen-hai Guo, Jie Wu, Haiyan Lu, Jianzhou Wang:
A case study on a hybrid wind speed forecasting method using BP neural network. Knowl. Based Syst. 24(7): 1048-1056 (2011)
2000 – 2009
- 2009
- [c7]Wenyu Zhang, Jinxing Che, Jianzhou Wang, Jinzhao Liang:
Prediction by Integration of Phase Space Reconstruction and a Novel Evolutionary System under Deregulated Power Market. WKDD 2009: 733-736 - 2008
- [c6]Jianzhou Wang, Jinxing Che, Jinzhao Liang, Haiyan Lu:
Research on Real Estate Early Warning System Based on Decision Tree and Fuzzy Recognition Theory. FSKD (3) 2008: 414-418 - [c5]Xuejun Chen, Jianzhou Wang, Donghuai Sun, Jinzhao Liang:
Time Series Forecasting Based on Novel Support Vector Machine Using Artificial Fish Swarm Algorithm. ICNC (2) 2008: 206-211 - [c4]Wenyu Zhang, Jinzhao Liang, Jianzhou Wang, Jinxing Che:
Chaotic Time Series Forecasting Base on Fuzzy Adaptive PSO for Feedforward Neural Network Training. ICYCS 2008: 3022-3027 - [c3]Jianli Dong, Jianzhou Wang, Donghuai Sun, Haiyan Lu:
The Research of Software Product Line Engineering Process and Its Integrated Development Environment Model. ISCSCT (1) 2008: 66-71 - [c2]Liman Zhang, Haiming Wang, Jinzhao Liang, Jianzhou Wang:
Decision Support in Cancer Base on Fuzzy Adaptive PSO for Feedforward Neural Network Training. ISCSCT (1) 2008: 220-223 - [c1]Jianli Dong, Haiyang Chen, Jianzhou Wang, Donghuai Sun:
Sandstorm Occurrence Frequency Short-Term Prediction Based on Bootstrap Method. ISICA 2008: 571-580 - 2005
- [j1]Jianzhou Wang, Zhixin Ma, Lian Li:
Detection, mining and forecasting of impact load in power load forecasting. Appl. Math. Comput. 168(1): 29-39 (2005)
Coauthor Index
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