Results 11 to 20 of about 24,815 (274)
Robust energy disaggregation using appliance-specific temporal contextual information [PDF]
EURASIP Journal on Advances in Signal Processing, 2020 An extension of the baseline non-intrusive load monitoring approach for energy disaggregation using temporal contextual information is presented in this paper.
Pascal Alexander Schirmer +2 more
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Non-Intrusive Load Disaggregation Based on a Multi-Scale Attention Residual Network
Applied Sciences, 2020 Non-intrusive load disaggregation (NILD) is of great significance to the development of smart grids. Current energy disaggregation methods extract features from sequences, and this process easily leads to a loss of load features and difficulties in ...
Liguo Weng +5 more
doaj +1 more source
Sensors, 2021 Acting as a virtual sensor network for household appliance energy use monitoring, non-intrusive load monitoring is emerging as the technical basis for refined electricity analysis as well as home energy management.
Yu Liu +5 more
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Non-Intrusive Load Disaggregation Using Graph Signal Processing [PDF]
IEEE Transactions on Smart Grid, 2018 With the large-scale roll-out of smart metering worldwide, there is a growing need to account for the individual contribution of appliances to the load demand. In this paper, we design a Graph signal processing (GSP)-based approach for non-intrusive appliance load monitoring (NILM), i.e., disaggregation of total energy consumption down to individual ...
Kanghang He +3 more
openaire +2 more sources
Demo Abstract: Appliance Load Monitoring by Power Load Disaggregation [PDF]
2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2010 Paper presented at the 2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 21-25 June, 2010, Boston ...
A. Schoofs +3 more
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Energy Disaggregation Using Elastic Matching Algorithms [PDF]
, 2020 © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)In this article ...
Mporas, Iosif +2 more
core +2 more sources
Will NILM Technology Replace Multi-Meter Telemetry Systems for Monitoring Electricity Consumption?
Energies, 2023 The estimation of electric power utilization, its baseload, and its heating, light, ventilation, and air-conditioning (HVAC) power component, which represents a very large portion of electricity usage in commercial facilities, are important for energy ...
Bartłomiej Gawin +2 more
doaj +1 more source
A Novel Denoising Auto-Encoder-Based Approach for Non-Intrusive Residential Load Monitoring
Energies, 2022 Mounting concerns pertaining to energy efficiency have led to the research of load monitoring. By Non-Intrusive Load Monitoring (NILM), detailed information regarding the electric energy consumed by each appliance per day or per hour can be formed.
Xi He, Heng Dong, Wanli Yang, Jun Hong
doaj +1 more source
Applied Sciences, 2020 A smart grid is a promising use-case of AIoT (AI (artificial intelligence) across IoT (internet of things)) that enables bidirectional communication among utilities that arises with demand response (DR) schemes for demand-side management (DSM) and ...
Yu-Chen Hu, Yu-Hsiu Lin, Chi-Hung Lin
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Statistical and Electrical Features Evaluation for Electrical Appliances Energy Disaggregation [PDF]
, 2019 In this paper we evaluate several well-known and widely used machine learning algorithms for regression in the energy disaggregation task. Specifically, the Non-Intrusive Load Monitoring approach was considered and the K-Nearest-Neighbours, Support ...
Harell +3 more
core +2 more sources