Image de couverture de livre

Faraday: Synthetic Smart Meter Generator for the smart grid

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chai, Sheng, Chadney, Gus
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Defining 'Good': Evaluation Framework for Synthetic Smart Meter Data
par: Chai, Sheng, et autres
Publié: (2024)

SmartMeterFM: Unifying Smart Meter Data Generative Tasks Using Flow Matching Models
par: Lin, Nan, et autres
Publié: (2026)

Capacity-constrained demand response in smart grids using deep reinforcement learning
par: Pashaki, Shafagh Abband, et autres
Publié: (2026)

Electric Vehicle Identification from Behind Smart Meter Data
par: Kamoona, Ammar, et autres
Publié: (2025)

Electrical Load Forecasting over Multihop Smart Metering Networks with Federated Learning
par: Rahman, Ratun, et autres
Publié: (2025)

Strategic Federated Learning: Application to Smart Meter Data Clustering
par: Mohamad, Hassan, et autres
Publié: (2024)

lm-Meter: Unveiling Runtime Inference Latency for On-Device Language Models
par: Wang, Haoxin, et autres
Publié: (2025)

Machine Learning-Based Intrusion Detection and Prevention System for IIoT Smart Metering Networks: Challenges and Solutions
par: Lazim, Sahar, et autres
Publié: (2025)

Re-pseudonymization Strategies for Smart Meter Data Are Not Robust to Deep Learning Profiling Attacks
par: Cretu, Ana-Maria, et autres
Publié: (2024)

Towards Secure and Scalable Energy Theft Detection: A Federated Learning Approach for Resource-Constrained Smart Meters
par: Labate, Diego, et autres
Publié: (2026)

Few Labels are all you need: A Weakly Supervised Framework for Appliance Localization in Smart-Meter Series
par: Petralia, Adrien, et autres
Publié: (2025)

On-Device Training of PV Power Forecasting Models in a Smart Meter for Grid Edge Intelligence
par: Huang, Jian, et autres
Publié: (2025)

Divide-Conquer Transformer Learning for Predicting Electric Vehicle Charging Events Using Smart Meter Data
par: Ke, Fucai, et autres
Publié: (2024)

ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series
par: Petralia, Adrien, et autres
Publié: (2023)

Privacy-Preserving Analytics for Smart Meter (AMI) Data: A Hybrid Approach to Comply with CPUC Privacy Regulations
par: Westrich, Benjamin
Publié: (2025)

False Data Injection Attack Detection in Edge-based Smart Metering Networks with Federated Learning
par: Uddin, Md Raihan, et autres
Publié: (2024)

Time and Frequency Domain-based Anomaly Detection in Smart Meter Data for Distribution Network Studies
par: Labura, Petar, et autres
Publié: (2025)

Bridging Smart Meter Gaps: A Benchmark of Statistical, Machine Learning and Time Series Foundation Models for Data Imputation
par: Sartipi, Amir, et autres
Publié: (2025)

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

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

Virtual Smart Metering in District Heating Networks via Heterogeneous Spatial-Temporal Graph Neural Networks
par: Niresi, Keivan Faghih, et autres
Publié: (2026)

Whole-Song Hierarchical Generation of Symbolic Music Using Cascaded Diffusion Models
par: Wang, Ziyu, et autres
Publié: (2024)

Filling in the Blanks: Applying Data Imputation in incomplete Water Metering Data
par: Amaxilatis, Dimitrios, et autres
Publié: (2025)

Driving Privacy Forward: Mitigating Information Leakage within Smart Vehicles through Synthetic Data Generation
par: Parikh, Krish
Publié: (2024)

Evaluating Privacy-Utility Tradeoffs in Synthetic Smart Grid Data
par: Catarino, Andre, et autres
Publié: (2025)

Synthetic User Behavior Sequence Generation with Large Language Models for Smart Homes
par: Xu, Zhiyao, et autres
Publié: (2025)

Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints
par: Wu, Yuxuan, et autres
Publié: (2024)

Learning Interpretable Low-dimensional Representation via Physical Symmetry
par: Liu, Xuanjie, et autres
Publié: (2023)

A Data Mining-Based Dynamical Anomaly Detection Method for Integrating with an Advance Metering System
par: Maitra, Sarit
Publié: (2024)

InstMeter: An Instruction-Level Method to Predict Energy and Latency of DL Model Inference on MCUs
par: Liu, Hao, et autres
Publié: (2026)

Utility Theory of Synthetic Data Generation
par: Xu, Shirong, et autres
Publié: (2023)

Think Smart, Not Hard: Difficulty Adaptive Reasoning for Large Audio Language Models
par: Sheng, Zhichao, et autres
Publié: (2025)

Debiasing Synthetic Data Generated by Deep Generative Models
par: Decruyenaere, Alexander, et autres
Publié: (2024)

Generating Synthetic Malware Samples Using Generative AI
par: Bao, Tiffany, et autres
Publié: (2026)

Synthetic Flight Data Generation Using Generative Models
par: Aly, Karim, et autres
Publié: (2026)

Temporal Data and Short-Time Averages Improve Multiphase Mass Flow Metering
par: Nyholm, Amanda, et autres
Publié: (2026)

General Causal Imputation via Synthetic Interventions
par: Jiralerspong, Marco, et autres
Publié: (2024)

eGAD! double descent is explained by Generalized Aliasing Decomposition
par: Transtrum, Mark K., et autres
Publié: (2024)

Synthetic Context Generation for Question Generation
par: Liu, Naiming, et autres
Publié: (2024)

DIT: Dimension Reduction View on Optimal NFT Rarity Meters
par: Belousov, Dmitry, et autres
Publié: (2025)