Cover Image

Edge-Optimized Deep Learning & Pattern Recognition Techniques for Non-Intrusive Load Monitoring of Energy Time Series

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Athanasoulias, Sotirios
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Prompting Large Language Models for Training-Free Non-Intrusive Load Monitoring
by: Xue, Junyu, et al.
Published: (2025)

Non-Intrusive Load Monitoring Based on Image Load Signatures and Continual Learning
by: Toirov, Olimjon, et al.
Published: (2025)

A Non-Intrusive Neural Quality Assessment Model for Surface Electromyography Signals
by: Lee, Cho-Yuan, et al.
Published: (2024)

A Non-Invasive Load Monitoring Method for Edge Computing Based on MobileNetV3 and Dynamic Time Regulation
by: Liu, Hangxu, et al.
Published: (2025)

Real-Time Energy Measurement for Non-Intrusive Well-Being Monitoring of Elderly People -- a Case Study
by: Brzozowski, Mateusz, et al.
Published: (2024)

Non-Intrusive Load Monitoring in Smart Grids: A Comprehensive Review
by: Liu, Yinyan, et al.
Published: (2024)

Non-negative DAG Learning from Time-Series Data
by: Rey, Samuel, et al.
Published: (2025)

Real-time Monitoring and Analysis of Track and Field Athletes Based on Edge Computing and Deep Reinforcement Learning Algorithm
by: Tang, Xiaowei, et al.
Published: (2024)

Joint Optimization of Energy Consumption and Completion Time in Federated Learning
by: Zhou, Xinyu, et al.
Published: (2022)

Gesture Recognition for FMCW Radar on the Edge
by: Strobel, Maximilian, et al.
Published: (2023)

Machine Intelligence on the Edge: Interpretable Cardiac Pattern Localisation Using Reinforcement Learning
by: Tian, Haozhe, et al.
Published: (2025)

Enhancing Wearable based Real-Time Glucose Monitoring via Phasic Image Representation Learning based Deep Learning
by: Zhu, Yidong, et al.
Published: (2024)

EEG Emotion Recognition Through Deep Learning
by: Dolgopolyi, Roman, et al.
Published: (2025)

Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time Series Process Optimization
by: Karkaria, Vispi, et al.
Published: (2024)

Low-Latency Neural Inference on an Edge Device for Real-Time Handwriting Recognition from EEG Signals
by: Sen, Ovishake, et al.
Published: (2025)

DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series
by: Petralia, Adrien, et al.
Published: (2025)

Evolutionary Optimization of 1D-CNN for Non-contact Respiration Pattern Classification
by: Islam, Md Zobaer, et al.
Published: (2023)

Augmentation of EEG and ECG Time Series for Deep Learning Applications: Integrating Changepoint Detection into the iAAFT Surrogates
by: Moutonnet, Nina, et al.
Published: (2025)

Enhancing AI-Based ECG Delineation with Deep Learning Denoising Techniques
by: Breeding-Allison, Jeff, et al.
Published: (2026)

Review of Deep Representation Learning Techniques for Brain-Computer Interfaces and Recommendations
by: Guetschel, Pierre, et al.
Published: (2024)

mtslearn: Machine Learning in Python for Medical Time Series
by: Jiang, Zhongheng, et al.
Published: (2026)

Deep Dict: Deep Learning-based Lossy Time Series Compressor for IoT Data
by: Liu, Jinxin, et al.
Published: (2024)

Evaluating Classifier Confidence for Surface EMG Pattern Recognition
by: Furui, Akira
Published: (2023)

Pattern-Based Time-Series Risk Scoring for Anomaly Detection and Alert Filtering -- A Predictive Maintenance Case Study
by: Liebman, Elad
Published: (2024)

Deep Time Warping for Multiple Time Series Alignment
by: Nourbakhsh, Alireza, et al.
Published: (2025)

Phase-driven Domain Generalizable Learning for Nonstationary Time Series
by: Mohapatra, Payal, et al.
Published: (2024)

Anomaly Detection for Non-stationary Time Series using Recurrent Wavelet Probabilistic Neural Network
by: Yang, Pu, et al.
Published: (2025)

Mixing Signals: Data Augmentation Approach for Deep Learning Based Modulation Recognition
by: Xu, Xinjie, et al.
Published: (2022)

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

On Sparse High-Dimensional Graphical Model Learning For Dependent Time Series
by: Tugnait, Jitendra K.
Published: (2021)

Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning
by: Nguyen, Duc Thien, et al.
Published: (2024)

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

Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training
by: Burchert, Johannes, et al.
Published: (2024)

On Conditional Independence Graph Learning From Multi-Attribute Gaussian Dependent Time Series
by: Tugnait, Jitendra K.
Published: (2025)

Time Weaver: A Conditional Time Series Generation Model
by: Narasimhan, Sai Shankar, et al.
Published: (2024)

FunnelNet: An End-to-End Deep Learning Framework to Monitor Digital Heart Murmur in Real-Time
by: Jobayer, Md, et al.
Published: (2024)

Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box Models
by: Chung, Hyunseung, et al.
Published: (2024)

Conformal Inference for Time Series over Graphs
by: Dua, Sonakshi, et al.
Published: (2025)