Image de couverture de livre

Optimizing Electric Vehicle Charging Station Locations: A Data-driven System with Multi-source Fusion

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Lihuan, Yin, Du, Xue, Hao, Lillo-Trynes, David, Salim, Flora
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

STAR: Failure-Aware Markovian Routing for Multi-Agent Spatiotemporal Reasoning
par: Yang, Ruiyi, et autres
Publié: (2026)

T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation
par: Li, Lihuan, et autres
Publié: (2024)

TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis
par: Tian, Feng, et autres
Publié: (2025)

HiT-JEPA: A Hierarchical Self-supervised Trajectory Embedding Framework for Similarity Computation
par: Li, Lihuan, et autres
Publié: (2025)

TrajPrism: A Multi-Task Benchmark for Language-Grounded Urban Trajectory Understanding
par: Li, Lihuan, et autres
Publié: (2026)

From XXLTraffic to EvoXXLTraffic: Scaling Traffic Forecasting to Sensor-Evolving Networks
par: Yin, Du, et autres
Publié: (2026)

Classical Feature Embeddings Help in BERT-Based Human Mobility Prediction
par: Liu, Yunzhi, et autres
Publié: (2025)

XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptation
par: Yin, Du, et autres
Publié: (2024)

Privacy Preserving Charge Location Prediction for Electric Vehicles
par: Marlin, Robert, et autres
Publié: (2025)

Online Dynamic Pricing for Electric Vehicle Charging Stations with Reservations
par: Mrkos, Jan, et autres
Publié: (2024)

SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding
par: Yang, Ruiyi, et autres
Publié: (2024)

MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs
par: Yang, Ruiyi, et autres
Publié: (2026)

Explainable Anomaly Detection for Electric Vehicles Charging Stations
par: Cederle, Matteo, et autres
Publié: (2025)

MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings
par: Khaokaew, Yonchanok, et autres
Publié: (2023)

Safety-Aware Reinforcement Learning for Electric Vehicle Charging Station Management in Distribution Network
par: Fan, Jiarong, et autres
Publié: (2024)

AnyMo: Geometry-Aware Setup-Agnostic Modeling of Human Motion in the Wild
par: Chen, Baiyu, et autres
Publié: (2026)

A Unified Variational Imputation Framework for Electric Vehicle Charging Data Using Retrieval-Augmented Language Model
par: Li, Jinhao, et autres
Publié: (2026)

Anomaly Detection in Electric Vehicle Charging Stations Using Federated Learning
par: C, Bishal K, et autres
Publié: (2025)

CoughViT: A Self-Supervised Vision Transformer for Cough Audio Representation Learning
par: Luong, Justin, et autres
Publié: (2025)

RELOOP: Recursive Retrieval with Multi-Hop Reasoner and Planners for Heterogeneous QA
par: Yang, Ruiyi, et autres
Publié: (2025)

SOCIA-EVO: Automated Simulator Construction via Dual-Anchored Bi-Level Optimization
par: Hua, Yuncheng, et autres
Publié: (2026)

Multiscale Spatio-Temporal Enhanced Short-term Load Forecasting of Electric Vehicle Charging Stations
par: Zhang, Zongbao, et autres
Publié: (2024)

SOCIA-Nabla: Textual Gradient Meets Multi-Agent Orchestration for Automated Simulator Generation
par: Hua, Yuncheng, et autres
Publié: (2025)

SOCIA-$\nabla$: Textual Gradient Meets Multi-Agent Orchestration for Automated Simulator Generation
par: Hua, Yuncheng, et autres
Publié: (2025)

Learning and Optimization for Price-based Demand Response of Electric Vehicle Charging
par: Gu, Chengyang, et autres
Publié: (2024)

Smart Ride and Delivery Services with Electric Vehicles: Leveraging Bidirectional Charging for Profit Optimisation
par: Du, Jinchun, et autres
Publié: (2025)

Promoting Two-sided Fairness in Dynamic Vehicle Routing Problem
par: Kang, Yufan, et autres
Publié: (2024)

Prompt Mining for Language-based Human Mobility Forecasting
par: Xue, Hao, et autres
Publié: (2024)

ASTER: Adaptive Spatio-Temporal Early Decision Model for Dynamic Resource Allocation
par: Chen, Shulun, et autres
Publié: (2025)

A Grid-Aware Agent-Based Model for Analyzing Electric Vehicle Charging Systems
par: Youssefi, Khalil Al-Rahman, et autres
Publié: (2026)

Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned
par: Yin, Du, et autres
Publié: (2024)

Dynamic Pricing for Electric Vehicle Charging
par: Kalakanti, Arun Kumar, et autres
Publié: (2024)

Leverage Multi-source Traffic Demand Data Fusion with Transformer Model for Urban Parking Prediction
par: Huang, Yin, et autres
Publié: (2024)

TrajLLM: A Modular LLM-Enhanced Agent-Based Framework for Realistic Human Trajectory Simulation
par: Ju, Chenlu, et autres
Publié: (2025)

User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation
par: Du, Jing, et autres
Publié: (2026)

Beyond Single Pass, Looping Through Time: KG-IRAG with Iterative Knowledge Retrieval
par: Yang, Ruiyi, et autres
Publié: (2025)

DomusFM: A Foundation Model for Smart-Home Sensor Data
par: Fiori, Michele, et autres
Publié: (2026)

A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings
par: Lin, Xiachong, et autres
Publié: (2024)

Online Electric Vehicle Charging Detection Based on Memory-based Transformer using Smart Meter Data
par: Kamoona, Ammar Mansoor, et autres
Publié: (2024)

Centralized vs. Decentralized Multi-Agent Reinforcement Learning for Enhanced Control of Electric Vehicle Charging Networks
par: Shojaeighadikolaei, Amin, et autres
Publié: (2024)