Recent trends of smart nonintrusive load monitoring in buildings: A review, open challenges, and future directions

Y Himeur, A Alsalemi, F Bensaali… - … Journal of Intelligent …, 2022 - Wiley Online Library
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 …

A comprehensive review of residential electricity load profile models

E Proedrou - IEEE Access, 2021 - ieeexplore.ieee.org
A third of the final electricity in the EU is consumed by households. The increased usage of
multiple electrical devices, electromobility, self-generation and consumption of electricity as …

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

J Kelly, W Knottenbelt - Scientific data, 2015 - nature.com
Many countries are rolling out smart electricity meters. These measure a home's total power
demand. However, research into consumer behaviour suggests that consumers are best …

Review of low voltage load forecasting: Methods, applications, and recommendations

S Haben, S Arora, G Giasemidis, M Voss, DV Greetham - Applied Energy, 2021 - Elsevier
The increased digitalisation and monitoring of the energy system opens up numerous
opportunities to decarbonise the energy system. Applications on low voltage, local networks …

Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014

S Makonin, B Ellert, IV Bajić, F Popowich - Scientific data, 2016 - nature.com
With the cost of consuming resources increasing (both economically and ecologically),
homeowners need to find ways to curb consumption. The Almanac of Minutely Power …

[HTML][HTML] Quantifying self-consumption linked to solar home battery systems: Statistical analysis and economic assessment

S Quoilin, K Kavvadias, A Mercier, I Pappone, A Zucker - Applied Energy, 2016 - Elsevier
The recent development of new and innovative home battery systems has been seen by
many as a catalyst for a solar energy revolution, and has created high expectations in the …

Towards data-driven energy communities: A review of open-source datasets, models and tools

H Kazmi, Í Munné-Collado, F Mehmood… - … and Sustainable Energy …, 2021 - Elsevier
Energy communities will play a central role in the sustainable energy transition by helping
inform and engage end users to become more responsible consumers of energy. However …

[HTML][HTML] Building power consumption datasets: Survey, taxonomy and future directions

Y Himeur, A Alsalemi, F Bensaali, A Amira - Energy and Buildings, 2020 - Elsevier
In the last decade, extended efforts have been poured into energy efficiency. Several energy
consumption datasets were henceforth published, with each dataset varying in properties …

A critical review of state-of-the-art non-intrusive load monitoring datasets

HK Iqbal, FH Malik, A Muhammad, MA Qureshi… - Electric Power Systems …, 2021 - Elsevier
Abstract Nowadays Non-Intrusive Load Monitoring (NILM) is considered a hot topic among
researchers. The energy disaggregation datasets are used as the benchmark to validate the …

Dataport and NILMTK: A building data set designed for non-intrusive load monitoring

O Parson, G Fisher, A Hersey, N Batra… - 2015 ieee global …, 2015 - ieeexplore.ieee.org
Non-intrusive load monitoring (NILM), or energy disaggregation, is the process of using
signal processing and machine learning to separate the energy consumption of a building …