An electrical load measurements dataset of United Kingdom households from a two-year longitudinal study
Smart meter roll-outs provide easy access to granular meter measurements, enabling
advanced energy services, ranging from demand response measures, tailored energy …
advanced energy services, ranging from demand response measures, tailored energy …
Artificial intelligence in support of the circular economy: ethical considerations and a path forward
The world's current model for economic development is unsustainable. It encourages high
levels of resource extraction, consumption, and waste that undermine positive …
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 …
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?
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 …
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 …
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
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 …
variety of methods such as modelling, sub-metering, load disaggregation or non-intrusive …
Real-time activity recognition for energy efficiency in buildings
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 …
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 …
electricity utilities to move from nonrenewable energy to renewable energy. The integration …
Non-intrusive load disaggregation solutions for very low-rate smart meter data
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 …
smart meter data that will be available for analysis are emerging. Consequently, focus has …
Households' hourly electricity consumption and peak demand in Denmark
The electrification of residential energy demand for heating and transportation is expected to
increase peak load and require additional generation and transmission capacities …
increase peak load and require additional generation and transmission capacities …