Recent trends of smart nonintrusive load monitoring in buildings: A review, open challenges, and future directions
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22876
Abstract: Smart nonintrusive load monitoring (NILM) represents a cost‐efficient technology for observing power usage in buildings. It tackles several challenges in transitioning into a more effective, sustainable, and digital energy efficiency environment. This paper presents a… read more here.
Keywords: recent trends; future directions; smart nonintrusive; nonintrusive load ... See more keywords
Transformer for Nonintrusive Load Monitoring: Complexity Reduction and Transferability
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3163347
Abstract: Nonintrusive load monitoring (NILM) is to obtain individual appliance’s electricity consumption from aggregated smart meter data. In this article, we propose a middle window transformer model, termed Midformer, for NILM. Existing models are limited by… read more here.
Keywords: transferability; nonintrusive load; complexity; load monitoring ... See more keywords
Shipboard Fault Detection Through Nonintrusive Load Monitoring: A Case Study
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2018.2869115
Abstract: As crew sizes aboard maritime vessels shrink in efforts to reduce operational costs, ship operators increasingly rely on advanced monitoring systems to ensure proper operation of shipboard equipment. The nonintrusive load monitor (NILM) is an… read more here.
Keywords: system; fault detection; shipboard; nonintrusive load ... See more keywords
Nonintrusive Load Monitoring Algorithm Using Mixed-Integer Linear Programming
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2018.2843292
Abstract: This paper presents a nonintrusive load monitoring (NILM) algorithm based on mixed-integer linear programming. The formulation deals with the problem of multiple switching that arises when disaggregating individual appliance’s consumptions from a compound power measurement.… read more here.
Keywords: integer linear; algorithm; integer; nonintrusive load ... See more keywords
Semisupervised Multilabel Deep Learning Based Nonintrusive Load Monitoring in Smart Grids
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2019.2955470
Abstract: Nonintrusive load monitoring (NILM) is a technique that infers appliance-level energy consumption patterns and operation state changes based on feeder power signals. With the availability of fine-grained electric load profiles, there has been increasing interest… read more here.
Keywords: load monitoring; deep learning; nonintrusive load; learning based ... See more keywords
Physics-Informed Time-Aware Neural Networks for Industrial Nonintrusive Load Monitoring
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3211075
Abstract: Nonintrusive load monitoring enables the situational awareness of appliance-level energy consumption without installing appliance-specific sensors. It has been researched for over 30 years, with deep learning methods being the state-of-the-art solutions. However, current works mainly… read more here.
Keywords: physics; industrial nonintrusive; nonintrusive load; load ... See more keywords
Sequence-to-Point Learning Based on Temporal Convolutional Networks for Nonintrusive Load Monitoring
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2021.3106678
Abstract: Nonintrusive load monitoring (NILM) is performed by monitoring the total electricity consumption data from the customer’s meter and decomposing it with a load decomposition algorithm to get real-time electricity consumption data for individual appliances. Nonintrusive… read more here.
Keywords: temporal convolutional; load decomposition; nonintrusive load; model ... See more keywords
Nonintrusive Load Monitoring Based on Self-Supervised Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3246504
Abstract: Deep learning models for nonintrusive load monitoring (NILM) tend to require a large amount of labeled data for training. However, it is difficult to generalize the trained models to unseen sites due to different load… read more here.
Keywords: supervised learning; self supervised; nonintrusive load; load ... See more keywords
Multiscale Self-Attention Architecture in Temporal Neural Network for Nonintrusive Load Monitoring
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3271009
Abstract: Nonintrusive load monitoring (NILM) constitutes a significant function of the smart grid in the future. The purpose is to ameliorate the consumption and supply of electricity by disaggregating the total load to the appliance-level load… read more here.
Keywords: multiscale self; self attention; nonintrusive load; attention ... See more keywords
Accurate Energy Use Estimation for Nonintrusive Load Monitoring in Systems of Known Devices
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2016.2620120
Abstract: This paper presents a method of nonintrusive load monitoring (NILM) for electrical systems consisting of a fixed and known set of devices. This constraint is inherently met by embedded and mobile power systems, and is… read more here.
Keywords: nonintrusive load; energy use; load monitoring; energy ... See more keywords
State Characteristic Clustering for Nonintrusive Load Monitoring with Stochastic Behaviours in Smart Grids
Sign Up to like & getrecommendations! Published in 2021 at "Complexity"
DOI: 10.1155/2021/8839595
Abstract: Integrating the nonintrusive load monitoring (NILM) technology into smart meters poses challenges in demand-side management (DSM) of the smart grid when capturing detailed power information and stochastic consumption behaviours, due to the difficulties in accurately… read more here.
Keywords: state; load monitoring; characteristic clustering; nonintrusive load ... See more keywords