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122 results on '"Sun, Hongbin"'

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1. Bidding and Dispatch Strategies with Flexibility Quantification and Pricing for Electric Vehicle Aggregator in Joint Energy-Regulation Market

2. Energy Internet: A Standardization-Based Blueprint Design

3. Latent Feature and Attention Dual Erasure Attack against Multi-View Diffusion Models for 3D Assets Protection

4. Residual Deep Reinforcement Learning for Inverter-based Volt-Var Control

5. Two-Stage Robust Planning Model for Park-Level Integrated Energy System Considering Uncertain Equipment Contingency

6. Activating Wider Areas in Image Super-Resolution

7. Exploring Hardware Friendly Bottleneck Architecture in CNN for Embedded Computing Systems

8. Uncertainty-Aware Transient Stability-Constrained Preventive Redispatch: A Distributional Reinforcement Learning Approach

9. Distribution Locational Marginal Emission for Carbon Alleviation in Distribution Networks: Formulation, Calculation, and Implication

10. Active Support of Inverters for Improving Short-Term Voltage Security in 100% IBRsPenetrated Power Systems

11. Networked Multiagent Safe Reinforcement Learning for Low-carbon Demand Management in Distribution Network

12. Dynamic Operating Envelopes Embedded Peer-to-Peer-to-Grid Energy Trading

13. Meta-Adapter: An Online Few-shot Learner for Vision-Language Model

14. Arithmetic trialitarian hyperbolic lattices are not LERF

15. SoTaNa: The Open-Source Software Development Assistant

16. An Adaptive Approach for Probabilistic Wind Power Forecasting Based on Meta-Learning

17. A Robust Planning Model for Offshore Microgrid Considering Tidal Power and Desalination

18. Multi-Interval Rolling-Window Joint Dispatch and Pricing of Energy and Reserve under Uncertainty

19. Short-Term Voltage Security Constrained UC to Prevent Trip Faults in High Wind Power Penetrated Power Systems

20. Encoding Carbon Emission Flow in Energy Management: A Compact Constraint Learning Approach

21. Electricity Price Prediction for Energy Storage System Arbitrage: A Decision-focused Approach

22. Conservative Sparse Neural Network Embedded Frequency-Constrained Unit Commitment With Distributed Energy Resources

23. Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond

24. On the realisation problem for mapping degree sets

25. Optimal scheduling of park-level integrated energy system considering ladder-type carbon trading mechanism and flexible load

26. Dynamic Grained Encoder for Vision Transformers

27. Object-fabrication Targeted Attack for Object Detection

28. Deep Reinforcement Learning Microgrid Optimization Strategy Considering Priority Flexible Demand Side

29. Appendix for Nonparametric Multivariate Probability Density Forecast in Smart Grids With Deep Learning

30. Reducing Action Space: Reference-Model-Assisted Deep Reinforcement Learning for Inverter-based Volt-Var Control

31. Virtual Domination of 3-manifolds III

32. Smart Meters Integration in Distribution System State Estimation with Collaborative Filtering and Deep Gaussian Process

33. Flux Linkage Based Evaluation Method for Voltage Inertia and Voltage Recovery Capability Under Large Disturbances

34. Energy-grade double pricing mechanism for a combined heat and power system using the asynchronous dispatch method

35. A Multiple Market Trading Mechanism for Electricity, Renewable Energy Certificate and Carbon Emission Right of Virtual Power Plants

36. DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection

37. MPC-Based Operation Strategy for Electric Vehicle Aggregators Considering Regulation Markets

38. Energy Circuit-based Integrated Energy Management System: Theory, Implementation, and Application

39. An Efficient Optimal Energy Flow Model for Integrated Energy Systems Based on Energy Circuit Modeling in the Frequency Domain

40. S2TNet: Spatio-Temporal Transformer Networks for Trajectory Prediction in Autonomous Driving

41. RF-LIO: Removal-First Tightly-coupled Lidar Inertial Odometry in High Dynamic Environments

42. Energy-Grade Double Pricing Rule in the Heating Market

43. CoCoSoDa: Effective Contrastive Learning for Code Search

44. Reducing Learning Difficulties: One-Step Two-Critic Deep Reinforcement Learning for Inverter-based Volt-Var Control

45. Joint Covering Congestion Rents in Multi-area Power Systems Considering Loop Flow Effects

46. A Stochastic Planning Method for Low-carbon Building-level Integrated Energy System Considering Electric-Heat-V2G Coupling

47. RACE: Retrieval-Augmented Commit Message Generation

48. A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction

49. Accuracy and Application Scope Analysis for Linearized Branch Flow Model in Radial Distribution Systems

50. MPC-Based Real-Time Charging Coordination for Electric Vehicle Aggregator to Provide Regulation Service in a Market Environment

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