New hybrid deep learning models for multi-target NILM disaggregation

Towards energy‐efficient smart homes via precise nonintrusive load disaggregation based on hybrid ANN–PSO

(2023) R. Ramadan et al.   Energy Science & Engineering

A data-driven workflow to improve energy efficient operation of commercial buildings: A review with real-world examples

(2022) Tareq Abuimara et al.   Building Services Engineering Research & Technology

Intelligent home energy management using Internet of Things platform based on NILM technique

(2022) R. Ramadan et al.   Sustainable Energy Grids & Networks

Towards Trustworthy Energy Disaggregation: A Review of Challenges, Methods, and Perspectives for Non-Intrusive Load Monitoring

(2022) Maria Kaselimi et al.   SENSORS

A practical solution based on convolutional neural network for non-intrusive load monitoring

(2021) Arash Moradzadeh et al.   Journal of Ambient Intelligence and Humanized Computing

Non-Intrusive Load Identification Method Based on Improved Long Short Term Memory Network

(2021) Jiateng Song et al.   Energies

A deep learning based non-intrusive household load identification for smart grid in China

(2021) Chen Chen et al.   COMPUTER COMMUNICATIONS

Non-intrusive load monitoring using artificial intelligence classifiers: Performance analysis of machine learning techniques

(2021) R.V.A. Monteiro et al.   ELECTRIC POWER SYSTEMS RESEARCH

Sequence to point learning based on bidirectional dilated residual network for non-intrusive load monitoring

(2021) Ziyue Jia et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Stealthy Black-Box Attacks on Deep Learning Non-Intrusive Load Monitoring Models

(2021) Junfei Wang et al.   IEEE Transactions on Smart Grid

Generalizability Improvement of Deep Learning-Based Non-Intrusive Load Monitoring System Using Data Augmentation

(2021) Hasan Rafiq et al.   IEEE Transactions on Smart Grid

Non-intrusive load transient identification based on multivariate LSTM neural network and time series data augmentation

(2021) Haiping Wu et al.   Sustainable Energy Grids & Networks

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

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

Real-time non-intrusive load monitoring: A light-weight and scalable approach

(2021) Christos L. Athanasiadis et al.   ENERGY AND BUILDINGS

Research on non-intrusive unknown load identification technology based on deep learning

(2021) Bo Yin et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Non-intrusive load decomposition based on CNN–LSTM hybrid deep learning model

(2021) Xinxin Zhou et al.   Energy Reports

A Demand-Side Load Event Detection Algorithm Based on Wide-Deep Neural Networks and Randomized Sparse Backpropagation

(2021) Chen Li et al.   Frontiers in Energy Research

Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks

(2021) Qi Liu et al.   Physical Communication

Multi-State Household Appliance Identification Based on Convolutional Neural Networks and Clustering

(2020) Ying Zhang et al.   Energies

Non-Intrusive Load Disaggregation by Convolutional Neural Network and Multilabel Classification

(2020) Luca Massidda et al.   Applied Sciences-Basel

A Deep Recurrent Neural Network for Non-Intrusive Load Monitoring Based on Multi-Feature Input Space and Post-Processing

(2020) Hasan Rafiq et al.   Energies

An Event-Driven Convolutional Neural Architecture for Non-Intrusive Load Monitoring of Residential Appliance

(2020) Dongsheng Yang et al.   IEEE TRANSACTIONS ON CONSUMER ELECTRONICS

A Parallel Evolutionary Computing-Embodied Artificial Neural Network Applied to Non-Intrusive Load Monitoring for Demand-Side Management in a Smart Home: Towards Deep Learning

(2020) Yu-Hsiu Lin   SENSORS

A convolutional autoencoder-based approach with batch normalization for energy disaggregation

(2020) Huan Chen et al.   JOURNAL OF SUPERCOMPUTING

Context Aware Energy Disaggregation Using Adaptive Bidirectional LSTM Models

(2020) Maria Kaselimi et al.   IEEE Transactions on Smart Grid

On the Use of Concentrated Time–Frequency Representations as Input to a Deep Convolutional Neural Network: Application to Non Intrusive Load Monitoring

(2020) Sarra Houidi et al.   Entropy

Non-intrusive load disaggregation based on composite deep long short-term memory network

(2020) Min Xia et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

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

Non-intrusive load disaggregation based on deep dilated residual network

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

Appliance Classification by Power Signal Analysis Based on Multi-Feature Combination Multi-Layer LSTM

(2019) Jin-Gyeom Kim et al.   Energies

Non-Intrusive Load Monitoring System Based on Convolution Neural Network and Adaptive Linear Programming Boosting

(2019) Chao Min et al.   Energies

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

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

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

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

(2018) Roberto Bonfigli et al.   ENERGY AND BUILDINGS

Non-Intrusive Load Disaggregation Using Graph Signal Processing

(2018) Kanghang He 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

A systematic approach in appliance disaggregation using k-nearest neighbours and naive Bayes classifiers for energy efficiency

(2017) Chuan Choong Yang et al.   Energy Efficiency

Nonintrusive Load Monitoring Based on Advanced Deep Learning and Novel Signature

(2017) Jihyun Kim et al.   Computational Intelligence and Neuroscience

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

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

Group control and identification of residential appliances using a nonintrusive method

(2015) Sunil SEMWAL et al.   Turkish Journal of Electrical Engineering and Computer Sciences

The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes

(2015) Jack Kelly et al.   Scientific Data