Load modelling and non-intrusive load monitoring to integrate distributed energy resources in low and medium voltage networks

AFM Jaramillo, DM Laverty, DJ Morrow… - Renewable Energy, 2021 - Elsevier
In many countries distributed energy resources (DER)(eg photovoltaics, batteries, wind
turbines, electric vehicles, electric heat pumps, air-conditioning units and smart domestic …

Distributed energy resources electric profile identification in low voltage networks using supervised machine learning techniques

AFM Jaramillo, J Lopez-Lorente, DM Laverty… - IEEE …, 2023 - ieeexplore.ieee.org
Increasing integration of distributed energy resources (DER) in the electrical network has led
distribution network operators to unprecedented challenges. This issue is compounded by …

Toward smart distributed renewable generation via multi-uncertainty featured non-intrusive interactive energy monitoring

Y Liu, C Liu, Q Ling, X Zhao, S Gao, X Huang - Applied Energy, 2021 - Elsevier
Quantities of advanced technologies have been utilized to realize the carbon neutrality,
among which the smart implementations at energy user side are highlighted due to the …

Non-intrusive load monitoring (nilm), interests and applications

LW TOKAM, SS Ouro-djobo - Journal of the Nigerian Society of …, 2023 - journal.nsps.org.ng
In developing effective energy management mechanisms, new concepts have been
developed to provide new approaches. Non-intrusive load monitoring (NILM) is an approach …

A Non-Intrusive Identification Approach for Residential Photovoltaic Systems Using Transient Features and TCN with Attention Mechanisms

Y Ni, Y Xia, Z Li, Q Feng - Sustainability, 2023 - mdpi.com
In order to reduce the negative impact of the large-scale grid connection of residential
photovoltaic (PV) equipment on the distribution network, it is of great significance to realize …

A robust non-intrusive load disaggregation method with roof-top photovoltaics

Y Liu, C Liu, W Wang, S Gao, X Huang - Electric Power Systems Research, 2022 - Elsevier
As a promising technology dealing with electric behavior analysis and energy characteristic
mining, non-intrusive load monitoring is popular with these people with energy conservation …

[图书][B] Identification of distributed energy resources in low voltage distribution networks

AFM Jaramillo, J Lopez-Lorente, D Laverty… - 2021 - ieeexplore.ieee.org
The increase of distributed energy resources, namely rooftop photovoltaic (PV) systems and
electric vehicles (EV), has brought new technical challenges related to the operation and …

A hybrid data-driven online solar energy disaggregation system from the grid supply point

XY Zhang, S Kuenzel, P Guo, L Yin… - Complex & Intelligent …, 2023 - Springer
The integration of small-scale Photovoltaics (PV) systems (such as rooftop PVs) decreases
the visibility of power systems, since the real demand load is masked. Most rooftop systems …

Klasifikasi Beban Listrik dengan Machine Learning Menggunakan Metode K-Nearest Neighbor

S Salma, F Dewanta, M Abdillah - RESISTOR (Elektronika Kendali …, 2022 - jurnal.umj.ac.id
Sistem pengenalan beban listrik merupakan peran yang penting dalam melakukan
manajemen dan penghematan listrik. Sistem pengenalan beban listrik memiliki keandalan …

A deep learning-based method for non-intrusive load monitoring and load disaggregation of 11kV/400V electrical Substations

E O'Malley, D Pugh, J Wu… - Energy …, 2024 - asmedigitalcollection.asme.org
Abstract An Artificial Intelligence-based method has been developed to achieve Non-
Intrusive Load Monitoring (NILM) at 11kV/400V electrical substations, accomplished using …