Results 51 to 60 of about 2,135 (206)

GREEND: An Energy Consumption Dataset of Households in Italy and Austria [PDF]

, 2014
Home energy management systems can be used to monitor and optimize consumption and local production from renewable energy. To assess solutions before their deployment, researchers and designers of those systems demand for energy consumption datasets.
D'Alessandro, Salvatore, Egarter, Dominik, Elmenreich, Wilfried, Monacchi, Andrea, Tonello, Andrea M.   +4 more
core   +1 more source

An adaptive-neuro fuzzy inference system based-hybrid technique for performing load disaggregation for residential customers

Scientific Reports, 2022
Effective and efficient use of energy is key to sustainable industrial and economic growth in modern times. Demand-side management (DSM) is a relatively new concept for ensuring efficient energy use at the consumer level.
Muhammad Zaigham Abbas, Intisar Ali Sajjad, Babar Hussain, Rehan Liaqat, Akhtar Rasool, Sanjeevikumar Padmanaban, Baseem Khan   +6 more
doaj   +1 more source

An In Depth Study into Using EMI Signatures for Appliance Identification

, 2014
Energy conservation is a key factor towards long term energy sustainability. Real-time end user energy feedback, using disaggregated electric load composition, can play a pivotal role in motivating consumers towards energy conservation. Recent works have
Jain M., Lee W., Leeb S. B., Parson O., Paul C. R., Russell M. J., Shaw S. R., Zoha A.   +7 more
core   +1 more source

Non-intrusive load monitoring under residential solar power influx [PDF]

, 2017
This paper proposes a novel Non-Intrusive Load Monitoring (NILM) method for a consumer premises with a residentially installed solar plant. This method simultaneously identifies the amount of solar power influx as well as the turned ON appliances, their ...
Dinesh, Chinthaka, Ekanayake, Janaka, Ekanayake, Mervyn Parakrama B., Godaliyadda, Roshan Indika, Liyanage, Yasitha, Welikala, Shirantha   +5 more
core   +2 more sources

A non-intrusive load monitoring method based on linear complexity self-attention mechanism

Diance yu yibiao
Non-intrusive load monitoring (NILM) technology is of great significance for achieving smart power consumption and management. Aiming at the problems of insufficient recognition accuracy of existing non-intrusive load monitoring methods for feature ...
LIAO Yaohua, CHANG Yanping, WANG En, WEI Ling, PAN Guobing, WANG Haipeng   +5 more
doaj   +1 more source

A Dataset for Non-Intrusive Load Monitoring: Design and Implementation

Energies, 2020
A NILM dataset is a valuable tool in the development of Non-Intrusive Load Monitoring techniques, as it provides a means of evaluation of novel techniques and algorithms, as well as for benchmarking.
Douglas Paulo Bertrand Renaux, Fabiana Pottker, Hellen Cristina Ancelmo, André Eugenio Lazzaretti, Carlos Raiumundo Erig Lima, Robson Ribeiro Linhares, Elder Oroski, Lucas da Silva Nolasco, Lucas Tokarski Lima, Bruna Machado Mulinari, José Reinaldo Lopes da Silva, Júlio Shigeaki Omori, Rodrigo Braun dos Santos   +12 more
doaj   +1 more source

FWM‐CL: Federated Watermark With Closed‐Loop Architecture for Efficient Non‐Intrusive Load Monitoring in Smart Grids

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper proposes the federated watermark closed‐loop learning (FWM‐CL) method for non‐intrusive load monitoring (NILM) to tackle Byzantine attacks and inefficient power disaggregation. FWM‐CL improves system robustness and disaggregation accuracy through watermark‐based attack detection and a feedback optimisation mechanism.
Yuefeng Lu, Shijin Xu, Yadong Liu, Xiuchen Jiang   +3 more
wiley   +1 more source

Non-Intrusive Adaptive Load Identification Based on Siamese Network

IEEE Access, 2022
The traditional non-intrusive load monitoring (NILM) algorithms are mostly based on classification models, which have several deficiencies. Firstly, a large amount of labeled data is required to train the classification model.
Miao Yu, Bingnan Wang, Lingxia Lu, Zhejing Bao, Donglian Qi   +4 more
doaj   +1 more source

TransSense: A multilevel attention and rotary positional embedding‐based transformer for load disaggregation

Energy Conversion and Economics, Volume 6, Issue 6, Page 371-387, December 2025.
Abstract Non‐intrusive load monitoring (NILM) aims to decompose total electricity usage into appliance‐specific signals, facilitating detailed energy management without the need for further hardware installation. However, precisely isolating the consumption of specific appliances remains difficult because of overlapping signatures, transient ...
Lei Jiang, Huan Liu, Jesse S. Jin, Yu Zheng, Xin He, Jie Zhao   +5 more
wiley   +1 more source

Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey

Sensors, 2012
Appliance Load Monitoring (ALM) is essential for energy management solutions, allowing them to obtain appliance-specific energy consumption statistics that can further be used to devise load scheduling strategies for optimal energy utilization.
Ahmed Zoha, Alexander Gluhak, Muhammad Ali Imran, Sutharshan Rajasegarar   +3 more
doaj   +1 more source