Divide-Conquer Transformer Learning for Predicting Electric Vehicle Charging Events Using Smart Meter Data
Fuente:
arXiv
Saved in:
| Main Authors: | Ke, Fucai, Wang, Hao |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Online Electric Vehicle Charging Detection Based on Memory-based Transformer using Smart Meter Data
by: Kamoona, Ammar Mansoor, et al.
Published: (2024)
by: Kamoona, Ammar Mansoor, et al.
Published: (2024)
Urban Water Consumption Forecasting Using Deep Learning and Correlated District Metered Areas
by: Malialis, Kleanthis, et al.
Published: (2024)
by: Malialis, Kleanthis, et al.
Published: (2024)
SmartPathfinder: Pushing the Limits of Heuristic Solutions for Vehicle Routing Problem with Drones Using Reinforcement Learning
by: Imran, Navid Mohammad, et al.
Published: (2024)
by: Imran, Navid Mohammad, et al.
Published: (2024)
Electric Vehicle Identification from Behind Smart Meter Data
by: Kamoona, Ammar, et al.
Published: (2025)
by: Kamoona, Ammar, et al.
Published: (2025)
Macroscopic Emission Modeling of Urban Traffic Using Probe Vehicle Data: A Machine Learning Approach
by: Adlouni, Mohammed Ali El, et al.
Published: (2025)
by: Adlouni, Mohammed Ali El, et al.
Published: (2025)
Graph Enhanced Reinforcement Learning for Effective Group Formation in Collaborative Problem Solving
by: Fang, Zheng, et al.
Published: (2024)
by: Fang, Zheng, et al.
Published: (2024)
Vehicle-group-based Crash Risk Prediction and Interpretation on Highways
by: Zhu, Tianheng, et al.
Published: (2024)
by: Zhu, Tianheng, et al.
Published: (2024)
Predicting Male Domestic Violence Using Explainable Ensemble Learning and Exploratory Data Analysis
by: Jahin, Md Abrar, et al.
Published: (2024)
by: Jahin, Md Abrar, et al.
Published: (2024)
Water Demand Forecasting of District Metered Areas through Learned Consumer Representations
by: Ramachandran, Adithya, et al.
Published: (2025)
by: Ramachandran, Adithya, et al.
Published: (2025)
Diffusion Generative Modelling for Divide-and-Conquer MCMC
by: Trojan, C., et al.
Published: (2024)
by: Trojan, C., et al.
Published: (2024)
Early Prediction of In-Hospital ICU Mortality Using Innovative First-Day Data: A Review
by: Huang, Baozhu, et al.
Published: (2025)
by: Huang, Baozhu, et al.
Published: (2025)
Back-filling Missing Data When Predicting Domestic Electricity Consumption From Smart Meter Data
by: Chen, Xianjuan, et al.
Published: (2024)
by: Chen, Xianjuan, et al.
Published: (2024)
Divide and Conquer Self-Supervised Learning for High-Content Imaging
by: Farndale, Lucas, et al.
Published: (2025)
by: Farndale, Lucas, et al.
Published: (2025)
An Event-centric Framework for Predicting Crime Hotspots with Flexible Time Intervals
by: Jin, Jiahui, et al.
Published: (2024)
by: Jin, Jiahui, et al.
Published: (2024)
Evaluating Privacy-Utility Tradeoffs in Synthetic Smart Grid Data
by: Catarino, Andre, et al.
Published: (2025)
by: Catarino, Andre, et al.
Published: (2025)
Zero Shot Health Trajectory Prediction Using Transformer
by: Renc, Pawel, et al.
Published: (2024)
by: Renc, Pawel, et al.
Published: (2024)
Predicting Human Mobility during Extreme Events via LLM-Enhanced Cross-City Learning
by: Tang, Yinzhou, et al.
Published: (2025)
by: Tang, Yinzhou, et al.
Published: (2025)
On Defining Smart Cities using Transformer Neural Networks
by: Khurshudov, Andrei
Published: (2024)
by: Khurshudov, Andrei
Published: (2024)
Strategic Federated Learning: Application to Smart Meter Data Clustering
by: Mohamad, Hassan, et al.
Published: (2024)
by: Mohamad, Hassan, et al.
Published: (2024)
WatchAnxiety: A Transfer Learning Approach for State Anxiety Prediction from Smartwatch Data
by: Ahmed, Md Sabbir, et al.
Published: (2025)
by: Ahmed, Md Sabbir, et al.
Published: (2025)
Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning
by: Gado, Elena Grazia, et al.
Published: (2024)
by: Gado, Elena Grazia, et al.
Published: (2024)
Revisiting the Predictability of Performative, Social Events
by: Perdomo, Juan C.
Published: (2025)
by: Perdomo, Juan C.
Published: (2025)
Novel Topological Machine Learning Methodology for Stream-of-Quality Modeling in Smart Manufacturing
by: Lee, Jay, et al.
Published: (2024)
by: Lee, Jay, et al.
Published: (2024)
SmartMeterFM: Unifying Smart Meter Data Generative Tasks Using Flow Matching Models
by: Lin, Nan, et al.
Published: (2026)
by: Lin, Nan, et al.
Published: (2026)
Procedural Fairness and Its Relationship with Distributive Fairness in Machine Learning
by: Wang, Ziming, et al.
Published: (2025)
by: Wang, Ziming, et al.
Published: (2025)
HEAPO -- An Open Dataset for Heat Pump Optimization with Smart Electricity Meter Data and On-Site Inspection Protocols
by: Brudermueller, Tobias, et al.
Published: (2025)
by: Brudermueller, Tobias, et al.
Published: (2025)
Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning
by: Huang, Chengsong, et al.
Published: (2024)
by: Huang, Chengsong, et al.
Published: (2024)
FedMood: Federated Learning on Mobile Health Data for Mood Detection
by: Xu, Xiaohang, et al.
Published: (2021)
by: Xu, Xiaohang, et al.
Published: (2021)
TABCF: Counterfactual Explanations for Tabular Data Using a Transformer-Based VAE
by: Panagiotou, Emmanouil, et al.
Published: (2024)
by: Panagiotou, Emmanouil, et al.
Published: (2024)
Advance Real-time Detection of Traffic Incidents in Highways using Vehicle Trajectory Data
by: Roy, Sudipta, et al.
Published: (2024)
by: Roy, Sudipta, et al.
Published: (2024)
Smartphone App Usage Prediction Using Points of Interest
by: Yu, Donghan, et al.
Published: (2017)
by: Yu, Donghan, et al.
Published: (2017)
Centralized vs. Federated Learning for Educational Data Mining: A Comparative Study on Student Performance Prediction with SAEB Microdata
by: Tertulino, Rodrigo
Published: (2025)
by: Tertulino, Rodrigo
Published: (2025)
On the Predictability of non-CGM Diabetes Data for Personalized Recommendation
by: Nguyen, Tu, et al.
Published: (2018)
by: Nguyen, Tu, et al.
Published: (2018)
CrossLag: Predicting Major Dengue Outbreaks with a Domain Knowledge Informed Transformer
by: Prabu, Ashwin, et al.
Published: (2025)
by: Prabu, Ashwin, et al.
Published: (2025)
Divide-or-Conquer? Which Part Should You Distill Your LLM?
by: Wu, Zhuofeng, et al.
Published: (2024)
by: Wu, Zhuofeng, et al.
Published: (2024)
Carbon Emission Prediction in China Considering New Quality Productive Forces Using a Deep & Corss Learning Modeling Framework
by: Xie, Haijin, et al.
Published: (2025)
by: Xie, Haijin, et al.
Published: (2025)
Cross-Course Generalizability of SRL-Aligned Predictive Models Using Digital Learning Traces
by: Schwerter, Jakob, et al.
Published: (2026)
by: Schwerter, Jakob, et al.
Published: (2026)
Machine Learning-Driven Student Performance Prediction for Enhancing Tiered Instruction
by: Chen, Yawen, et al.
Published: (2025)
by: Chen, Yawen, et al.
Published: (2025)
Efficient and Personalized Mobile Health Event Prediction via Small Language Models
by: Wang, Xin, et al.
Published: (2024)
by: Wang, Xin, et al.
Published: (2024)
Feature Engineering on LMS Data to Optimize Student Performance Prediction
by: Hubbard, Keith, et al.
Published: (2025)
by: Hubbard, Keith, et al.
Published: (2025)
Similar Items
-
Online Electric Vehicle Charging Detection Based on Memory-based Transformer using Smart Meter Data
by: Kamoona, Ammar Mansoor, et al.
Published: (2024) -
Urban Water Consumption Forecasting Using Deep Learning and Correlated District Metered Areas
by: Malialis, Kleanthis, et al.
Published: (2024) -
SmartPathfinder: Pushing the Limits of Heuristic Solutions for Vehicle Routing Problem with Drones Using Reinforcement Learning
by: Imran, Navid Mohammad, et al.
Published: (2024) -
Electric Vehicle Identification from Behind Smart Meter Data
by: Kamoona, Ammar, et al.
Published: (2025) -
Macroscopic Emission Modeling of Urban Traffic Using Probe Vehicle Data: A Machine Learning Approach
by: Adlouni, Mohammed Ali El, et al.
Published: (2025)