Cover Image

A Multi-View Multi-Timescale Hypergraph-Empowered Spatiotemporal Framework for EV Charging Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Jinhao, Wang, Hao
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids
by: Zhao, Dafang, et al.
Published: (2024)

A Unified Variational Imputation Framework for Electric Vehicle Charging Data Using Retrieval-Augmented Language Model
by: Li, Jinhao, et al.
Published: (2026)

SMA-Hyper: Spatiotemporal Multi-View Fusion Hypergraph Learning for Traffic Accident Prediction
by: Gao, Xiaowei, et al.
Published: (2024)

Learning Higher-Order Structure from Incomplete Spatiotemporal Data: Multi-Scale Hypergraph Laplacians with Neural Refinement
by: Wu, Keshu, et al.
Published: (2026)

A Causality-Aware Spatiotemporal Model for Multi-Region and Multi-Pollutant Air Quality Forecasting
by: Lu, Junxin, et al.
Published: (2025)

HyperGCL: Multi-Modal Graph Contrastive Learning via Learnable Hypergraph Views
by: Saifuddin, Khaled Mohammed, et al.
Published: (2025)

Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation
by: Li, Mengfan, et al.
Published: (2024)

PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting
by: Wu, Hao, et al.
Published: (2026)

TSI: A Multi-View Representation Learning Approach for Time Series Forecasting
by: Gao, Wentao, et al.
Published: (2024)

A Lightweight Multi-View Approach to Short-Term Load Forecasting
by: Guité-Vinet, Julien, et al.
Published: (2026)

Hypergraph-based Multi-View Action Recognition using Event Cameras
by: Gao, Yue, et al.
Published: (2024)

Bridging Cognitive Neuroscience and Graph Intelligence: Hippocampus-Inspired Multi-View Hypergraph Learning for Web Finance Fraud
by: Cui, Rongkun, et al.
Published: (2026)

MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates
by: Iacob, Alex, et al.
Published: (2025)

Federated Learning for Early Prediction of EV Charging Demand
by: Perifanis, Vasilis, et al.
Published: (2026)

M$^2$FMoE: Multi-Resolution Multi-View Frequency Mixture-of-Experts for Extreme-Adaptive Time Series Forecasting
by: Huang, Yaohui, et al.
Published: (2026)

Incident-Guided Spatiotemporal Traffic Forecasting
by: Fan, Lixiang, et al.
Published: (2026)

Representation over Routing: Diagnosing Temporal Routing Pathologies in Multi-Timescale PPO
by: Sun, Jing
Published: (2026)

Data-Driven Optimization of EV Charging Station Placement Using Causal Discovery
by: Junker, Julius Stephan, et al.
Published: (2025)

Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models
by: Wang, Hao, et al.
Published: (2025)

PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Burst-Sampled Spatiotemporal Dynamics
by: Wan, Han, et al.
Published: (2025)

DMSC: Dynamic Multi-Scale Coordination Framework for Time Series Forecasting
by: Yang, Haonan, et al.
Published: (2025)

STMGF: An Effective Spatial-Temporal Multi-Granularity Framework for Traffic Forecasting
by: Zhao, Zhengyang, et al.
Published: (2024)

Spatiotemporal Forecasting as Planning: A Model-Based Reinforcement Learning Approach with Generative World Models
by: Wu, Hao, et al.
Published: (2025)

Chargax: A JAX Accelerated EV Charging Simulator
by: Ponse, Koen, et al.
Published: (2025)

Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates
by: Yu, Chengqing, et al.
Published: (2025)

Multi-Granular Attention based Heterogeneous Hypergraph Neural Network
by: Jin, Hong, et al.
Published: (2025)

Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
by: Shen, ChengAo, et al.
Published: (2025)

Collaborative Deterministic-Probabilistic Forecasting for Diverse Spatiotemporal Systems
by: Sheng, Zhi, et al.
Published: (2025)

Towards Learnable Anchor for Deep Multi-View Clustering
by: Wang, Bocheng, et al.
Published: (2025)

Simulation-Informed Diffusion for Decentralized Multi-robot Motion Planning
by: Liang, Jinhao, et al.
Published: (2026)

Learning from History: A Retrieval-Augmented Framework for Spatiotemporal Prediction
by: Jia, Hao, et al.
Published: (2025)

Empowering Time Series Forecasting with LLM-Agents
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)

BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting
by: Wang, Weiyan, et al.
Published: (2025)

MVKTrans: Multi-View Knowledge Transfer for Robust Multiomics Classification
by: Cong, Shan, et al.
Published: (2024)

Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning
by: Liang, Jinhao, et al.
Published: (2025)

S^2-KD: Semantic-Spectral Knowledge Distillation Spatiotemporal Forecasting
by: Wang, Wenshuo, et al.
Published: (2025)

Multi-View Neural Differential Equations for Continuous-Time Stream Data in Long-Term Traffic Forecasting
by: Liu, Zibo, et al.
Published: (2024)

PRISM-CTG: A Foundation Model for Cardiotocography Analysis with Multi-View SSL
by: Wong, Sheng, et al.
Published: (2026)

To Charge or to Sell? EV Pack Useful Life Estimation via LSTMs, CNNs, and Autoencoders
by: Bosello, Michael, et al.
Published: (2021)

Enhancing Cloud Network Resilience via a Robust LLM-Empowered Multi-Agent Reinforcement Learning Framework
by: Peng, Yixiao, et al.
Published: (2026)