Cover Image

Out-of-Distribution-Aware Electric Vehicle Charging

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Tongxin, Sun, Chenxi
Format:	Preprint
Published:	2023
Subjects:	Systems and Control Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Coherent Hierarchical Probabilistic Forecasting of Electric Vehicle Charging Demand
by: Zheng, Kedi, et al.
Published: (2024)

Optimizing Electric Vehicles Charging using Large Language Models and Graph Neural Networks
by: Orfanoudakis, Stavros, et al.
Published: (2025)

Deep Reinforcement Learning-Based Optimization of Second-Life Battery Utilization in Electric Vehicles Charging Stations
by: Haghighi, Rouzbeh, et al.
Published: (2025)

Multiscale Spatio-Temporal Enhanced Short-term Load Forecasting of Electric Vehicle Charging Stations
by: Zhang, Zongbao, et al.
Published: (2024)

Causality and Interpretability for Electrical Distribution System faults
by: Peddi, Karthik, et al.
Published: (2025)

Response-Aware Risk-Constrained Control Barrier Function With Application to Vehicles
by: Liao, Qijun, et al.
Published: (2026)

Scalable Optimization for Mobility-Aware Coordinated Electric Vehicle Charging in Distribution Power Networks
by: Ju, Yi, et al.
Published: (2026)

Fault Detection in Electrical Distribution System using Autoencoders
by: Nayak, Sidharthenee, et al.
Published: (2026)

Dynamic Rolling Horizon Optimization for Network-Constrained V2X Value Stacking of Electric Vehicles Under Uncertainties
by: Jiang, Canchen, et al.
Published: (2025)

Controlling Large Electric Vehicle Charging Stations via User Behavior Modeling and Stochastic Programming
by: Puech, Alban, et al.
Published: (2024)

Dynamics and Optimization in Spatially Distributed Electrical Vehicle Charging
by: Paganini, Fernando, et al.
Published: (2024)

PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids
by: Suri, Dhruv, et al.
Published: (2025)

Assessing the Impact of Electric Vehicle Charging on Residential Distribution Grids
by: Raffoul, Elias, et al.
Published: (2024)

PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution Terrain
by: Cai, Xiaoyi, et al.
Published: (2024)

Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures
by: Seo, Junwon, et al.
Published: (2025)

Can We Ignore Labels In Out of Distribution Detection?
by: Yang, Hong, et al.
Published: (2025)

Safety-Aware Reinforcement Learning for Electric Vehicle Charging Station Management in Distribution Network
by: Fan, Jiarong, et al.
Published: (2024)

Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis
by: Srinivasan, Anutam, et al.
Published: (2026)

Topology-Aware Reinforcement Learning over Graphs for Resilient Power Distribution Networks
by: Jacob, Roshni Anna, et al.
Published: (2026)

Resilient Load Forecasting under Climate Change: Adaptive Conditional Neural Processes for Few-Shot Extreme Load Forecasting
by: Hu, Chenxi, et al.
Published: (2026)

Topology-Aware Graph Reinforcement Learning for Energy Storage Systems Optimal Dispatch in Distribution Networks
by: Gao, Shuyi, et al.
Published: (2026)

Learning to Route Electric Trucks Under Operational Uncertainty
by: Orfanoudakis, Stavros, et al.
Published: (2026)

Digital Twin-based Out-of-Distribution Detection in Autonomous Vessels
by: Isaku, Erblin, et al.
Published: (2025)

Toward 6-DOF Autonomous Underwater Vehicle Energy-Aware Position Control based on Deep Reinforcement Learning: Preliminary Results
by: Boré, Gustavo, et al.
Published: (2025)

Machine Learning and Deep Learning Models for Short Term Electricity Price Forecasting in Australia's National Electricity Market
by: Lu, Wei, et al.
Published: (2026)

Attentive Convolutional Deep Reinforcement Learning for Optimizing Solar-Storage Systems in Real-Time Electricity Markets
by: Li, Jinhao, et al.
Published: (2024)

Prediction Interval Construction Method for Electricity Prices
by: Lu, Xin
Published: (2025)

Traffic-Aware Microgrid Planning for Dynamic Wireless Electric Vehicle Charging Roadways
by: Ghose, Dipanjan, et al.
Published: (2025)

Grid-ECO: Grid Aware Electric Vehicle Charging Stations Placement Optimizer
by: Panthee, Bikram, et al.
Published: (2026)

Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space
by: Golchoubian, Mahsa, et al.
Published: (2024)

RadioDiff-$k^2$: Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction
by: Wang, Xiucheng, et al.
Published: (2025)

Data Driven Automatic Electrical Machine Preliminary Design with Artificial Intelligence Expert Guidance
by: Wang, Yiwei, et al.
Published: (2024)

Flexible Electric Vehicle Charging with Karma
by: Elokda, Ezzat, et al.
Published: (2026)

Distributed Thompson sampling under constrained communication
by: Zerefa, Saba, et al.
Published: (2024)

Stable Training of Probabilistic Models Using the Leave-One-Out Maximum Log-Likelihood Objective
by: Bölat, Kutay, et al.
Published: (2023)

Exploiting Prior Knowledge in Preferential Learning of Individualized Autonomous Vehicle Driving Styles
by: Theiner, Lukas, et al.
Published: (2025)

Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement Learning
by: Yang, Jingxuan, et al.
Published: (2024)

Distributional Soft Actor-Critic with Three Refinements
by: Duan, Jingliang, et al.
Published: (2023)

Neighbor-Aware Reinforcement Learning for Mixed Traffic Optimization in Large-scale Networks
by: Islam, Iftekharul, et al.
Published: (2024)

Conformal Prediction for Stochastic Decision-Making of PV Power in Electricity Markets
by: Renkema, Yvet, et al.
Published: (2024)