An electrical load measurements dataset of United Kingdom households from a two-year longitudinal study

D Murray, L Stankovic, V Stankovic - Scientific data, 2017 - nature.com
Smart meter roll-outs provide easy access to granular meter measurements, enabling
advanced energy services, ranging from demand response measures, tailored energy …

Artificial intelligence in support of the circular economy: ethical considerations and a path forward

H Roberts, J Zhang, B Bariach, J Cowls, B Gilburt… - AI & SOCIETY, 2024 - Springer
The world's current model for economic development is unsustainable. It encourages high
levels of resource extraction, consumption, and waste that undermine positive …

A synthetic energy dataset for non-intrusive load monitoring in households

C Klemenjak, C Kovatsch, M Herold, W Elmenreich - Scientific data, 2020 - nature.com
Research on smart grid technologies is expected to result in effective climate change
mitigation. Non-Intrusive Load Monitoring (NILM) is seen as a key technique for enabling …

Can non-intrusive load monitoring be used for identifying an appliance's anomalous behaviour?

H Rashid, P Singh, V Stankovic, L Stankovic - Applied energy, 2019 - Elsevier
Identification of faulty appliance behaviour in real time can signal energy wastage and the
need for appliance servicing or replacement leading to energy savings. The problem of …

Dynamic time warping based non-intrusive load transient identification

B Liu, W Luan, Y Yu - Applied energy, 2017 - Elsevier
Non-intrusive load monitoring (NILM) is a novel and cost-effective technology for monitoring
load electricity energy consumption details. In the event-based NILM, transient power …

[HTML][HTML] Measuring the energy intensity of domestic activities from smart meter data

L Stankovic, V Stankovic, J Liao, C Wilson - Applied Energy, 2016 - Elsevier
Household electricity consumption can be broken down to appliance end-use through a
variety of methods such as modelling, sub-metering, load disaggregation or non-intrusive …

Real-time activity recognition for energy efficiency in buildings

S Ahmadi-Karvigh, A Ghahramani, B Becerik-Gerber… - Applied energy, 2018 - Elsevier
More than half of the electricity in residential and commercial buildings is consumed by
lighting systems and appliances. Consumption by these service systems is directly …

Smart energy management and demand reduction by consumers and utilities in an IoT-fog-based power distribution system

RJ Tom, S Sankaranarayanan… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
The growing demand for energy and the increasing carbon footprint in the globe has made
electricity utilities to move from nonrenewable energy to renewable energy. The integration …

Non-intrusive load disaggregation solutions for very low-rate smart meter data

B Zhao, M Ye, L Stankovic, V Stankovic - Applied energy, 2020 - Elsevier
With the active large-scale roll-out of smart metering worldwide, details about the type of
smart meter data that will be available for analysis are emerging. Consequently, focus has …

Households' hourly electricity consumption and peak demand in Denmark

FM Andersen, M Baldini, LG Hansen, CL Jensen - Applied energy, 2017 - Elsevier
The electrification of residential energy demand for heating and transportation is expected to
increase peak load and require additional generation and transmission capacities …