Mao Tan

26 papers Journal 21Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Double-layer Q-learning guided NSGA-II for integrated production scheduling and inventory decision considering multi-product orders.
Expert Syst. Appl.
Juan Zhou, Qianwang Deng, Yinwen Ma, Rui Pan, Jingxing Zhang, Mao Tan
2026 J jnl
Non-intrusive three-phase load monitoring based on deep feature fusion and recursive interpretable screening.
Appl. Soft Comput.
Mao Tan, Qiyang Li, Zibin Li, Xinwei Lv, Jinling Chen, Wei Liu
2025 J jnl
Federated Reinforcement Learning for smart and privacy-preserving energy management of residential microgrids clusters.
Eng. Appl. Artif. Intell.
Mao Tan, Jie Zhao, Xiao Liu, Yongxin Su, Ling Wang, Rui Wang, Zhuocen Dai
2025 J jnl
LFArc-PFE: A Series Arc Fault Detection Method Based on Low-Frequency Current Data and Perturbation Feature Extraction.
IEEE Trans. Instrum. Meas.
Mao Tan, Yaqing Gong, Lin Wang, Kang Li, Jiawen Tong, Yongxin Su
2025 J jnl
Massive Coordination of Distributed Energy Resources in VPP: A Mean Field RL-Based Bi-Level Optimization Approach.
IEEE Trans. Cybern.
Zhuocen Dai, Mao Tan, Yin Yang, Xiao Liu, Rui Wang, Yongxin Su
2025 J jnl
Robust Optimization Scheduling of an Electric Vehicle Charging Station Based on Interval-Valued Intuitionistic Fuzzy Information.
IEEE Trans. Fuzzy Syst.
Yuling Ren, Mao Tan, Kang Li, Yongxin Su, Rui Wang, Ling Wang
2024 J jnl
BET: Explaining Deep Reinforcement Learning through The Error-Prone Decisions.
CoRR
Xiao Liu, Jie Zhao, Wubing Chen, Mao Tan, Yongxing Su
2024 J jnl
Integrating Graph Signal Processing and Multitask Temporal Convolutional Networks for Household Nonintrusive Load Monitoring.
IEEE Trans. Instrum. Meas.
Yongxin Su, Haotian Peng, Mao Tan, Jie Chen
2024 J jnl
Nonintrusive Load Identification Considering Unknown Load Based on Bimodal Fusion and One-Class Classification.
IEEE Trans. Instrum. Meas.
Jun Xiao, Mao Tan, Rui Pan, Yongxin Su, Ting Li, Zhenxuan Xu
2023 J jnl
Bi-level optimization of charging scheduling of a battery swap station based on deep reinforcement learning.
Eng. Appl. Artif. Intell.
Mao Tan, Zhuocen Dai, Yongxin Su, Caixue Chen, Ling Wang, Jie Chen
2023 J jnl
Fair and Efficient Electric Vehicle Charging Scheduling Optimization Considering the Maximum Individual Waiting Time and Operating Cost.
IEEE Trans. Veh. Technol.
Mao Tan, Yuling Ren, Rui Pan, Ling Wang, Jie Chen
2023 J jnl
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning.
CoRR
Xiao Liu, Wubing Chen, Mao Tan
2023 J jnl
Fusing domain knowledge and reinforcement learning for home integrated demand response online optimization.
Eng. Appl. Artif. Intell.
Zhiyao Zhang, Yongxin Su, Mao Tan, Rui Cao
2023 J jnl
Multi-Agent System for Electric Vehicle Charging Scheduling in Parking Lots.
Complex Syst. Model. Simul.
Mao Tan, Zhonglin Zhang, Yuling Ren, Irampaye Richard, Yuzhou Zhang
2023 J jnl
Multi-task learning based multi-energy load prediction in integrated energy system.
Appl. Intell.
Lulu Wang, Mao Tan, Jie Chen, Chengchen Liao
2022 J jnl
Multi-node load forecasting based on multi-task learning with modal feature extraction.
Eng. Appl. Artif. Intell.
Mao Tan, Chenglin Hu, Jie Chen, Ling Wang, Zhengmao Li
2021 J jnl
PID self-tuning method based on deep belief network and improved firefly algorithm.
Int. J. Autom. Control.
Lingzhi Yi, Xiu Xu, Mao Tan, Zongguang Zhang, Weihong Xiao, Lv Fan
2021 J jnl
Preference-inspired coevolutionary algorithm with active diversity strategy for multi-objective multi-modal optimization.
Inf. Sci.
Rui Wang, Wubin Ma, Mao Tan, Guohua Wu, Ling Wang, Dunwei Gong, Jian Xiong
2019 — conf
An Ensemble Learning Approach for Short-Term Load Forecasting of Grid-Connected Multi-energy Microgrid.
SSCI
Mao Tan, Jicheng Jin, Yongxin Su
2019 J jnl
Genetic algorithms with greedy strategy for green batch scheduling on non-identical parallel machines.
Memetic Comput.
Mao Tan, Hua-Li Yang, Yongxin Su
2018 — conf
An Improved NSGA-II based Algorithm for Economical Hot Rolling Batch Scheduling under Time-sensitive Electricity Prices.
CASE
Mao Tan, Miqing Li, Ling Wang
2018 J jnl
Economic batch sizing and scheduling on parallel machines under time-of-use electricity pricing.
Oper. Res.
Mao Tan, Bin Duan, Yongxin Su
2017 — conf
Content-Based Similar Document Image Retrieval Using Fusion of CNN Features.
ICIMCS
Mao Tan, Siping Yuan, Yongxin Su
2015 J jnl
Optimal hot rolling production scheduling for economic load dispatch under time-of-use electricity pricing.
CoRR
Mao Tan, Bin Duan, Yongxin Su, Feng He
2001 — conf
Object Motion Detection Based on Perceptual Edge Tracking.
Workshop on Digital and Computational Video
Qigang Gao, Alan Parslow, Mao Tan
2001 — conf
Perceptual motion tracking from image sequences.
ICIP (1)
Qigang Gao, Alan Parslow, Mao Tan