Recent trends of smart nonintrusive load monitoring in buildings: A review, open challenges, and future directions

Energy Use Intensity Disaggregation in Institutional Buildings – A Data Analytics Approach

(2021) Mikhak Samadi et al.   ENERGY AND BUILDINGS

Improving Non-Intrusive Load Disaggregation through an Attention-Based Deep Neural Network

(2021) Veronica Piccialli et al.   Energies

Smart power consumption abnormality detection in buildings using micromoments and improved K‐nearest neighbors

(2021) Yassine Himeur et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

Frequency Selective Auto-Encoder for Smart Meter Data Compression

(2021) Jihoon Lee et al.   SENSORS

Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives

(2021) Yassine Himeur et al.   APPLIED ENERGY

Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier

(2021) Yassine Himeur et al.   Sustainable Cities and Society

A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects

(2021) Yassine Himeur et al.   Information Fusion

TraceGAN: Synthesizing Appliance Power Signatures Using Generative Adversarial Networks

(2021) Alon Harell et al.   IEEE Transactions on Smart Grid

Nonintrusive Residential Electricity Load Decomposition Based on Transfer Learning

(2021) Mingzhi Yang et al.   Sustainability

Smart fusion of sensor data and human feedback for personalized energy-saving recommendations

(2021) Iraklis Varlamis et al.   APPLIED ENERGY

Multi-label LSTM autoencoder for non-intrusive appliance load monitoring

(2021) Sagar Verma et al.   ELECTRIC POWER SYSTEMS RESEARCH

Energy disaggregation using variational autoencoders

(2021) Antoine Langevin et al.   ENERGY AND BUILDINGS

Transfer learning-based strategies for fault diagnosis in building energy systems

(2021) Jiangyan Liu et al.   ENERGY AND BUILDINGS

Smart Sensing and End-Users’ Behavioral Change in Residential Buildings: An Edge-Based Internet of Energy Perspective

(2021) Abdullah Alsalemi et al.   IEEE SENSORS JOURNAL

Deep Domain Adaptation for Non-Intrusive Load Monitoring Based on a Knowledge Transfer Learning Network

(2021) Jun Lin et al.   IEEE Transactions on Smart Grid

A Privacy-Preserving Federated Learning Method for Probabilistic Community-Level Behind-the-Meter Solar Generation Disaggregation

(2021) Jun Lin et al.   IEEE Transactions on Smart Grid

Blockchain-based recommender systems: Applications, challenges and future opportunities

(2021) Yassine Himeur et al.   Computer Science Review

A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges

(2021) Weihua Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An innovative edge-based Internet of Energy solution for promoting energy saving in buildings

(2021) Abdullah Alsalemi et al.   Sustainable Cities and Society

Intelligent Edge-Based Recommender System for Internet of Energy Applications

(2021) Aya Sayed et al.   IEEE Systems Journal

Measurement Error Prediction of Power Metering Equipment Using Improved Local Outlier Factor and Kernel Support Vector Regression

(2021) Jun Ma et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Modelling the Disaggregated Demand for Electricity in Residential Buildings Using Artificial Neural Networks (Deep Learning Approach)

(2020) Tomasz Jasiński   Energies

REHAB-C: Recommendations for Energy HABits Change

(2020) Christos Sardianos et al.   Future Generation Computer Systems-The International Journal of eScience

Hybrid-cloud-based data processing for power system monitoring in smart grids

(2020) M. Talaat et al.   Sustainable Cities and Society

Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree

(2020) Yassine Himeur et al.   APPLIED ENERGY

Dimension reduction for NILM classification based on principle component analysis

(2020) Ram Machlev et al.   ELECTRIC POWER SYSTEMS RESEARCH

An intelligent nonintrusive load monitoring scheme based on 2D phase encoding of power signals

(2020) Yassine Himeur et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks

(2020) Yassine Himeur et al.   Cognitive Computation

Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction

(2020) Yassine Himeur et al.   APPLIED ENERGY

Blockchain for Future Smart Grid: A Comprehensive Survey

(2020) Muhammad Baqer Mollah et al.   IEEE Internet of Things Journal

A critical review of state-of-the-art non-intrusive load monitoring datasets

(2020) Hafiz Khurram Iqbal et al.   ELECTRIC POWER SYSTEMS RESEARCH

A Micro-Moment System for Domestic Energy Efficiency Analysis

(2020) Abdullah Alsalemi et al.   IEEE Systems Journal

A complementary unsupervised load disaggregation method for residential loads at very low sampling rate data

(2020) Monica M. Eskander et al.   Sustainable Energy Technologies and Assessments

A Microgrid Energy Management System Based on Non-Intrusive Load Monitoring via Multitask Learning

(2020) Halil Cimen et al.   IEEE Transactions on Smart Grid

Can non-intrusive load monitoring be used for identifying an appliance’s anomalous behaviour?

(2019) Haroon Rashid et al.   APPLIED ENERGY

Non-intrusive load disaggregation based on deep dilated residual network

(2019) Min Xia et al.   ELECTRIC POWER SYSTEMS RESEARCH

Coalition based game theoretic energy management system of a building as-service-over fog

(2019) Adia Khalid et al.   Sustainable Cities and Society

NILM Techniques for Intelligent Home Energy Management and Ambient Assisted Living: A Review

(2019) Antonio Ruano et al.   Energies

Unsupervised algorithm for disaggregating low-sampling-rate electricity consumption of households

(2019) Jordan Holweger et al.   Sustainable Energy Grids & Networks

Non-Intrusive Load Monitoring Using Additive Factorial Approximate Maximum a Posteriori Based on Iterative Fuzzy $c$ -Means

(2019) T. Y. Ji et al.   IEEE Transactions on Smart Grid

Estimation of Target Appliance Electricity Consumption Using Background Filtering

(2019) Gaochen Cui et al.   IEEE Transactions on Smart Grid

A Practical Solution for Non-Intrusive Type II Load Monitoring Based on Deep Learning and Post-Processing

(2019) Weicong Kong et al.   IEEE Transactions on Smart Grid

Transfer Learning for Non-Intrusive Load Monitoring

(2019) Michele D'Incecco et al.   IEEE Transactions on Smart Grid

Using multiple data sources to detect manipulated electricity meter by an entropy-inspired metric

(2019) Denis Hock et al.   Sustainable Energy Grids & Networks

Scale- and Context-Aware Convolutional Non-Intrusive Load Monitoring

(2019) Kunjin Chen et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A novel smart meter data compression method via stacked convolutional sparse auto-encoder

(2019) Shouxiang Wang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Characterizing the energy flexibility of buildings and districts

(2018) Rune Grønborg Junker et al.   APPLIED ENERGY

Power Estimation of Multiple Two-State Loads Using A Probabilistic Non-Intrusive Approach

(2018) Nilson Henao et al.   Energies

Appliance classification using VI trajectories and convolutional neural networks

(2018) Leen De Baets et al.   ENERGY AND BUILDINGS

Denoising autoencoders for Non-Intrusive Load Monitoring: Improvements and comparative evaluation

(2018) Roberto Bonfigli et al.   ENERGY AND BUILDINGS

Interactive visualization for NILM in large buildings using non-negative matrix factorization

(2018) Diego García et al.   ENERGY AND BUILDINGS

Performance evaluation in non-intrusive load monitoring: Datasets, metrics, and tools-A review

(2018) Lucas Pereira et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Non-Intrusive Load Disaggregation Using Graph Signal Processing

(2018) Kanghang He et al.   IEEE Transactions on Smart Grid

A Cloud-based On-line Disaggregation Algorithm for Home Appliance Loads

(2018) Million Abayneh Mengistu et al.   IEEE Transactions on Smart Grid

An Extensible Approach for Non-Intrusive Load Disaggregation With Smart Meter Data

(2018) Weicong Kong et al.   IEEE Transactions on Smart Grid

Non-Intrusive Energy Use Monitoring for a Group of Electrical Appliances

(2018) Yu Liu et al.   IEEE Transactions on Smart Grid

Residential Household Non-Intrusive Load Monitoring via Graph-Based Multi-Label Semi-Supervised Learning

(2018)   IEEE Transactions on Smart Grid

Disaggregating Transform Learning for Non-Intrusive Load Monitoring

(2018) Megha Gaur et al.   IEEE Access

Improving Event-based Non-intrusive Load Monitoring using Graph Signal Processing

(2018) Bochao Zhao et al.   IEEE Access

Non-Intrusive Load Monitoring Based on Novel Transient Signal in Household Appliances with Low Sampling Rate

(2018) Thi-Thu-Huong Le et al.   Energies

A NILM algorithm with enhanced disaggregation scheme under harmonic current vectors

(2018) Aggelos S. Bouhouras et al.   ENERGY AND BUILDINGS

An Extreme Learning Machine Approach to Effective Energy Disaggregation

(2018) Valerio Salerno et al.   Electronics

Non-Intrusive Load Monitoring by Voltage–Current Trajectory Enabled Transfer Learning

(2018) Yanchi Liu et al.   IEEE Transactions on Smart Grid

Non-intrusive load monitoring through home energy management systems: A comprehensive review

(2017) Sayed Saeed Hosseini et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Analysis Co-Sparse Coding for Energy Disaggregation

(2017) Shikha Singh et al.   IEEE Transactions on Smart Grid

Deep Sparse Coding for Non-Intrusive Load Monitoring

(2017) Shikha Singh et al.   IEEE Transactions on Smart Grid

Non-Intrusive Load Monitoring Using Semi-Supervised Machine Learning and Wavelet Design

(2017) Jessie M. Gillis et al.   IEEE Transactions on Smart Grid

An electrical load measurements dataset of United Kingdom households from a two-year longitudinal study

(2017) David Murray et al.   Scientific Data

Appliance Activity Recognition Using Radio Frequency Interference Emissions

(2016) Manoj Gulati et al.   IEEE SENSORS JOURNAL

Improving Nonintrusive Load Monitoring Efficiency via a Hybrid Programing Method

(2016) Weicong Kong et al.   IEEE Transactions on Industrial Informatics

Electric Load Classification by Binary Voltage–Current Trajectory Mapping

(2016) Liang Du et al.   IEEE Transactions on Smart Grid

Exploiting HMM Sparsity to Perform Online Real-Time Nonintrusive Load Monitoring

(2016) Stephen Makonin et al.   IEEE Transactions on Smart Grid

Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014

(2016) Stephen Makonin et al.   Scientific Data

Non-Intrusive Appliance Load Identification Based on Higher-Order Statistics

(2015) Juan Diego Silva Guedes et al.   IEEE Latin America Transactions

An unsupervised training method for non-intrusive appliance load monitoring

(2014) Oliver Parson et al.   ARTIFICIAL INTELLIGENCE

Measured end-use electric load profiles for 12 Canadian houses at high temporal resolution

(2012) Neil Saldanha et al.   ENERGY AND BUILDINGS

Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

(2009) David Moher et al.   PLOS MEDICINE