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[1] Xianguang Jia, Jinke Zhang, Nan Pan* , Junwei Yang, Renxin Xiao. Net load forecasting for high renewable penetration Grids: Hybrid decomposition and Multi-Scale temporal convolutional network. International Journal of Electrical Power and Energy Systems.2026(176)111686.(中科院二区) [2] Renxin Xiao,Yupeng Yin, Guisheng Chen, Nan Pan, Xianguang Jia*.Online state of charge estimation for lithium-ion batteries based on incremental learning under real-world driving conditions. Journal of Energy Storage.2025(118)116234.(通讯作者,中科院二区) [3] Xianguang Jia, Weijie Fang , Yingying Lyu, Jinke Zhang, Mengyi Guo, Dong Li, Jie Qv, Fengxiang Guo.ST-GAT Resident OD Prediction Model Based on Mobile Signaling Data. IEEE Access.2025(13)100920.(中科院四区) [4] Xianguang Jia, Jie Qu, Yingying Lyu*, Mengyi Guo, Jinke Zhang,Fengxiang Guo.A Prediction-Based Anomaly Detection Method for Traffic Flow Data with Multi-Domain Feature Extraction. Applied Sciences. 2025(15)3234.(中科院四区) [5] Xianguang Jia, Mengyi Guo,Yingying Lyu,Jie Qu,Dong Li,Fengxiang Guo.Adaptive Traffic Signal Control Based on Graph Neural Networks and Dynamic Entropy-Constrained Soft Actor–Critic.Electronics.2024, 13(23) 4794.(中科院四区) [6] Xianguang Jia, Xinbo Zhou, Jing Bao, Guangyi Zhai,Rong Yan. Fusion Swarm-Intelligence-Based Decision Optimization for Energy-Efficient Train-Stopping Schemes. Applied Sciences, 2023(13)1497.(中科院四区) [7] Xiao Renxin, Yang Yi, Jia Xianguang, Pan Nan. Collaborative estimations of state of energy and maximum available energy of lithium-ion batteries with optimized time windows considering instantaneous energy efficiencies. Energy. 274 (2023) 127305.(中科院一区) [8] Renxin Xiao, Yanwen Hu, Xianguang Jia, Guisheng Chen*.A novel estimation of state of charge for the lithium-ion battery in electric vehicle without open circuit voltage experiment. Energy.243 (2022) 123072.(中科院一区) [9] 贾现广,刘欢,冯超琴,吕英英. 基于混合卷积-递归神经网络的共享单车出入流预测[J].科学技术与工程.2025, 25(5): 2127-2134.(EI期刊A类) [10] 贾现广,李栋,吕英英,张金科,郭梦毅,瞿洁,方伟杰,苏治文. 一种城市道路交通拥堵指数的预测方法, ZL 2024 1 1868717.8.(发明专利) |