Cover Image

Enhancing Non-Intrusive Load Monitoring with Features Extracted by Independent Component Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hoosh, Sahar Moghimian, Kamyshev, Ilia, Ouerdane, Henni
Format:	Preprint
Published:	2025
Subjects:	Systems and Control Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fusion-ResNet: A Lightweight multi-label NILM Model Using PCA-ICA Feature Fusion
by: Hoosh, Sahar Moghimian, et al.
Published: (2025)

COLD: Concurrent Loads Disaggregator for Non-Intrusive Load Monitoring
by: Kamyshev, Ilia, et al.
Published: (2021)

Physics-informed appliance signatures generator for energy disaggregation
by: Kamyshev, Ilia, et al.
Published: (2024)

Toward Explainable NILM: Real-Time Event-Based NILM Framework for High-Frequency Data
by: Gerasimov, Grigorii, et al.
Published: (2025)

Indoor thermal comfort management: A Bayesian machine-learning approach to data denoising and dynamics prediction of HVAC systems
by: Penuela, Javier, et al.
Published: (2025)

Assessing the value of energy storage systems for distribution grid applications
by: Hoosh, Sahar Moghimian, et al.
Published: (2023)

HiFAKES: Synthetic High-Frequency NILM Data for NILM Models Diagnostics and Generalization Testing
by: Kamyshev, Ilia, et al.
Published: (2024)

Benchmarking Reinforcement Learning via Stochastic Converse Optimality: Generating Systems with Known Optimal Policies
by: Ibrahim, Sinan, et al.
Published: (2026)

The indoor agriculture industry: a promising player in demand response services
by: Penuela, Javier, et al.
Published: (2024)

External Data-Enhanced Meta-Representation for Adaptive Probabilistic Load Forecasting
by: Li, Haoran, et al.
Published: (2025)

An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis
by: Rajendran, Goutham, et al.
Published: (2023)

Unsupervised High Impedance Fault Detection Using Autoencoder and Principal Component Analysis
by: Liu, Yingxiang, et al.
Published: (2023)

Large Vision Model-Enhanced Digital Twin with Deep Reinforcement Learning for User Association and Load Balancing in Dynamic Wireless Networks
by: Tao, Zhenyu, et al.
Published: (2024)

Generalized Multi-hop Traffic Pressure for Heterogeneous Traffic Perimeter Control
by: Li, Xiaocan, et al.
Published: (2024)

Resilient Load Forecasting under Climate Change: Adaptive Conditional Neural Processes for Few-Shot Extreme Load Forecasting
by: Hu, Chenxi, et al.
Published: (2026)

Exploring Lightweight Federated Learning for Distributed Load Forecasting
by: Duttagupta, Abhishek, et al.
Published: (2024)

NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity
by: Petralia, Adrien, et al.
Published: (2025)

Learning Load Balancing with GNN in MPTCP-Enabled Heterogeneous Networks
by: Ji, Han, et al.
Published: (2024)

Task-Aware Machine Unlearning and Its Application in Load Forecasting
by: Xu, Wangkun, et al.
Published: (2023)

Dynamic Load Model for Data Centers with Pattern-Consistent Calibration
by: Lu, Siyu, et al.
Published: (2026)

HOPS: High-order Polynomials with Self-supervised Dimension Reduction for Load Forecasting
by: Song, Pengyang, et al.
Published: (2025)

Machine Learning for Scalable and Optimal Load Shedding Under Power System Contingency
by: Zhou, Yuqi, et al.
Published: (2024)

Independent policy gradient-based reinforcement learning for economic and reliable energy management of multi-microgrid systems
by: Hu, Junkai, et al.
Published: (2025)

Applying Fine-Tuned LLMs for Reducing Data Needs in Load Profile Analysis
by: Hu, Yi, et al.
Published: (2024)

A Cherry-Picking Approach to Large Load Shaping for More Effective Carbon Reduction
by: Chen, Bokan, et al.
Published: (2026)

Feature Engineering Approach to Building Load Prediction: A Case Study for Commercial Building Chiller Plant Optimization in Tropical Weather
by: Wang, Zhan, et al.
Published: (2025)

Multiscale Spatio-Temporal Enhanced Short-term Load Forecasting of Electric Vehicle Charging Stations
by: Zhang, Zongbao, et al.
Published: (2024)

Evaluation of Prosumer Networks for Peak Load Management in Iran: A Distributed Contextual Stochastic Optimization Approach
by: Noori, Amir, et al.
Published: (2024)

Generalizable Temperature Nowcasting with Physics-Constrained RNNs for Predictive Maintenance of Wind Turbine Components
by: Exenberger, Johannes, et al.
Published: (2024)

Verification and Validation of Physics-Informed Surrogate Component Models for Dynamic Power-System Simulation
by: Ellinas, Petros, et al.
Published: (2026)

Machine Learning for Campus Energy Resilience: Clustering and Time-Series Forecasting in Intelligent Load Shedding
by: Oyinlola, Salim, et al.
Published: (2025)

Runtime Monitoring and Fault Detection for Neural Network-Controlled Systems
by: Lan, Jianglin, et al.
Published: (2024)

Grid Monitoring with Synchro-Waveform and AI Foundation Model Technologies
by: Tong, Lang, et al.
Published: (2024)

Component-Aware Pruning Framework for Neural Network Controllers via Gradient-Based Importance Estimation
by: Sundaram, Ganesh, et al.
Published: (2026)

Toward Adaptive Grid Resilience: A Gradient-Free Meta-RL Framework for Critical Load Restoration
by: Abdeen, Zain ul, et al.
Published: (2026)

Load constrained wind farm flow control through multi-objective multi-agent reinforcement learning
by: Åstrand, Teodor, et al.
Published: (2026)

Random Features Approximation for Control-Affine Systems
by: Kazemian, Kimia, et al.
Published: (2024)

Proactive Load-Shaping Strategies with Privacy-Cost Trade-offs in Residential Households based on Deep Reinforcement Learning
by: Zhang, Ruichang, et al.
Published: (2024)

Non-Parametric Learning of Stochastic Differential Equations with Non-asymptotic Fast Rates of Convergence
by: Bonalli, Riccardo, et al.
Published: (2023)

A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
by: Ferrer-Cid, Pau, et al.
Published: (2024)