Cover Image

Electric Vehicle Identification from Behind Smart Meter Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kamoona, Ammar, Song, Hui, Amani, Ali Moradi, Jalili, Mahdi, Yu, Xinghuo, McTaggart, Peter
Format:	Preprint
Published:	2025
Subjects:	Signal Processing Machine Learning
Online Access:	Acceder al recurso
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)

On-Device Training of PV Power Forecasting Models in a Smart Meter for Grid Edge Intelligence
by: Huang, Jian, et al.
Published: (2025)

Federated Sequence-to-Sequence Learning for Load Disaggregation from Unbalanced Low-Resolution Smart Meter Data
by: Li, Xiangrui
Published: (2024)

ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series
by: Petralia, Adrien, et al.
Published: (2023)

Clustering Interval Load with Weather to Create Scenarios of Behind-the-Meter Solar Penetration
by: Campbell, Allison M., et al.
Published: (2024)

Contrastive Learning-based User Identification with Limited Data on Smart Textiles
by: Zhang, Yunkang, et al.
Published: (2024)

Temporal Data and Short-Time Averages Improve Multiphase Mass Flow Metering
by: Nyholm, Amanda, et al.
Published: (2026)

Probabilistic Hysteresis Factor Prediction for Electric Vehicle Batteries with Graphite Anodes Containing Silicon
by: Yu, Runyao, et al.
Published: (2026)

Channel Charting in Smart Radio Environments
by: Maleki, Mahdi, et al.
Published: (2025)

Evaluating GAN-LSTM for Smart Meter Anomaly Detection in Power Systems
by: Nia, Fahimeh Orvati, et al.
Published: (2026)

Analysis of Impulsive Interference in Digital Audio Broadcasting Systems in Electric Vehicles
by: Chen, Chin-Hung, et al.
Published: (2024)

Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach
by: Rahman, Ratun, et al.
Published: (2024)

Deep Learning-Based Analysis of Power Consumption in Gasoline, Electric, and Hybrid Vehicles
by: Yahyaabadi, Roksana, et al.
Published: (2025)

Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging Infrastructure
by: Dehrouyeh, Fatemeh, et al.
Published: (2025)

Deep Multitask Learning for Pervasive BMI Estimation and Identity Recognition in Smart Beds
by: Davoodnia, Vandad, et al.
Published: (2020)

SoK: Behind the Accuracy of Complex Human Activity Recognition Using Deep Learning
by: Nguyen, Duc-Anh, et al.
Published: (2024)

Multi-modal Data based Semi-Supervised Learning for Vehicle Positioning
by: Huan, Ouwen, et al.
Published: (2024)

Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models
by: Bogdoll, Daniel, et al.
Published: (2021)

Metering Error Estimation of Fast-Charging Stations Using Charging Data Analytics
by: Ma, Kang, et al.
Published: (2025)

Learning Hierarchical Procedural Memory for LLM Agents through Bayesian Selection and Contrastive Refinement
by: Forouzandeh, Saman, et al.
Published: (2025)

Physiologically Grounded Driver Behavior Classification: SHAP-Driven Elite Feature Selection and Hybrid Gradient Boosting for Multimodal Physiological Signals
by: Askari, Sahar, et al.
Published: (2026)

A Novel Approach to WaveNet Architecture for RF Signal Separation with Learnable Dilation and Data Augmentation
by: Tian, Yu, et al.
Published: (2024)

Energy Disaggregation & Appliance Identification in a Smart Home: Transfer Learning enables Edge Computing
by: Shahab, M. Hashim, et al.
Published: (2023)

Internet of Things-Based Smart Precision Farming in Soilless Agriculture: Opportunities and Challenges for Global Food Security
by: Dutta, Monica, et al.
Published: (2025)

Distributed Sensing Along Fibres for Smart Clothing
by: Hannigan, Brett C., et al.
Published: (2024)

NeuroLingua: A Language-Inspired Hierarchical Framework for Multimodal Sleep Stage Classification Using EEG and EOG
by: Samaee, Mahdi, et al.
Published: (2025)

Regression Based Anomaly Detection in Electric Vehicle State of Charge Fluctuations Through Analysis of EVCI Data
by: Babu, Mitikiri Sagar, et al.
Published: (2024)

ECG Signal Denoising Using Multi-scale Patch Embedding and Transformers
by: Zhu, Ding, et al.
Published: (2024)

Self-supervised New Activity Detection in Sensor-based Smart Environments
by: Kim, Hyunju, et al.
Published: (2024)

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models
by: Maneshni, Aurausp
Published: (2025)

Towards Channel Charting Enhancement with Non-Reconfigurable Intelligent Surfaces
by: Maleki, Mahdi, et al.
Published: (2025)

Generalized Nonnegative Structured Kruskal Tensor Regression
by: Wang, Xinjue, et al.
Published: (2025)

A Novel Combined Data-Driven Approach for Electricity Theft Detection
by: Zheng, Kedi, et al.
Published: (2024)

A Data-Based Review of Battery Electric Vehicle and Traction Inverter Trends
by: Sachs, Christoph, et al.
Published: (2025)

A Robust Probabilistic Approach to Stochastic Subspace Identification
by: O'Connell, Brandon J., et al.
Published: (2023)

Universal Differential Equations for Scientific Machine Learning of Node-Wise Battery Dynamics in Smart Grids
by: S., Tarushri N.
Published: (2025)

Graph-CNNs for RF Imaging: Learning the Electric Field Integral Equations
by: Stylianopoulos, Kyriakos, et al.
Published: (2025)

Automated Phytosensing: Ozone Exposure Classification Based on Plant Electrical Signals
by: Aust, Till, et al.
Published: (2024)

Random matrix theory improved Fréchet mean of symmetric positive definite matrices
by: Bouchard, Florent, et al.
Published: (2024)

Clustering-based Multitasking Deep Neural Network for Solar Photovoltaics Power Generation Prediction
by: Song, Hui, et al.
Published: (2024)