Követés
Chenbei Lu
Chenbei Lu
Ph.D. Candidate in Computer Science, Tsinghua University
E-mail megerősítve itt: caltech.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Privacy preserving in non-intrusive load monitoring: A differential privacy perspective
H Wang, J Zhang, C Lu, C Wu
IEEE Transactions on Smart Grid 12 (3), 2529-2543, 2020
572020
Effective end-to-end learning framework for economic dispatch
C Lu, W Jiang, C Wu
IEEE Transactions on Network Science and Engineering 9 (4), 2673-2683, 2022
202022
Deadline differentiated dynamic EV charging price menu design
C Lu, J Wu, J Cui, Y Xu, C Wu, MC Gonzalez
IEEE Transactions on Smart Grid 14 (1), 502-516, 2022
192022
Learning-aided framework for storage control facing renewable energy
J Wu, C Lu, C Wu
IEEE Systems Journal 17 (1), 652-663, 2022
152022
Privacy-preserving decentralized price coordination for EV charging stations
C Lu, J Wu, C Wu
Electric Power Systems Research 212, 108355, 2022
122022
Sample-adaptive robust economic dispatch with statistically feasible guarantees
C Lu, N Gu, W Jiang, C Wu
IEEE Transactions on Power Systems 39 (1), 779-793, 2023
102023
High-resolution probabilistic load forecasting: A learning ensemble approach
C Lu, J Liang, W Jiang, J Teng, C Wu
Journal of the Franklin Institute 360 (6), 4272-4296, 2023
102023
Robust scheduling of thermostatically controlled loads with statistically feasible guarantees
W Jiang, C Lu, C Wu
IEEE Transactions on Smart Grid 14 (5), 3561-3572, 2023
72023
An optimal solutions-guided deep reinforcement learning approach for online energy storage control
G Xu, J Shi, J Wu, C Lu, C Wu, D Wang, Z Han
Applied Energy 361, 122915, 2024
62024
Storage-aided service surcharge design for EV charging stations
C Lu, Z Wang, C Wu
2021 60th IEEE Conference on Decision and Control (CDC), 5653-5658, 2021
52021
Mobility data-driven complete dispatch framework for the ride-hailing platform
J Wu, C Lu, C Wu, Y Qin, Q Li, N Ma, J Fang
Adjunct Proceedings of the 2021 ACM International Joint Conference on …, 2021
52021
Joint Chance-constrained Unit Commitment: Statistically Feasible Robust Optimization with Learning-to-Optimize Acceleration
J Liang, W Jiang, C Lu, C Wu
IEEE Transactions on Power Systems, 2024
42024
Privacy preserving user energy consumption profiling: From theory to application
C Lu, J Cui, H Wang, H Yi, C Wu
IEEE Transactions on Smart Grid, 2023
42023
Risk-Limiting Multi-Station EV Charging Scheduling with Imperfect Prediction
Y Zhang, C Wu, C Lu
2022 7th IEEE Workshop on the Electronic Grid (eGRID), 1-5, 2022
42022
A cluster-based appliance-level-of-use demand response program design
J Wu, C Lu, C Wu, J Shi, MC Gonzalez, D Wang, Z Han
Applied Energy 362, 123003, 2024
22024
Self-Improving Online Storage Control for Stable Wind Power Commitment
C Lu, H Yi, J Zhang, C Wu
IEEE Transactions on Smart Grid, 2024
22024
Robust Online EV Charging Scheduling with Statistical Feasibility
W Jiang, J Liang, C Lu, C Wu
2023 62nd IEEE Conference on Decision and Control (CDC), 5594-5599, 2023
12023
Online Storage Control for Stable Wind Power Commitment via Lyapunov Optimization
H Yi, C Lu, C Wu
2023 IEEE Sustainable Power and Energy Conference (iSPEC), 1-6, 2023
12023
Manipulation-Proof Virtual Bidding Mechanism Design
C Lu, J Liang, N Gu, H Wang, C Wu
IEEE Transactions on Energy Markets, Policy and Regulation, 2023
12023
Efficiency or fairness? carpooling design for online ride-hailing platform in transport hubs at midnight
C Lu, J Wu, C Wu, Y Qin, Q Li, N Ma
ACM SIGSPATIAL 2021, Proceedings of the 29th International Conference on …, 2021
12021
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