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 …
A new convolutional neural network-based system for NILM applications
F Ciancetta, G Bucci, E Fiorucci, S Mari… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Electrical load planning and demand response programs are often based on the analysis of
individual load-level measurements obtained from houses or buildings. The identification of …
individual load-level measurements obtained from houses or buildings. The identification of …
Toward non-intrusive load monitoring via multi-label classification
Demand-side management technology is a key element of the proposed smart grid, which
will help utilities make more efficient use of their generation assets by reducing consumers' …
will help utilities make more efficient use of their generation assets by reducing consumers' …
A review of non-intrusive load monitoring applications in industrial and residential contexts
Load monitoring systems make it possible to obtain information on the status of the various
loads powered by an electrical system. The term “electrical load” indicates any device or …
loads powered by an electrical system. The term “electrical load” indicates any device or …
Fednilm: Applying federated learning to nilm applications at the edge
Non-intrusive load monitoring (NILM) helps disaggregate a household's main electricity
consumption to energy usages of individual appliances, greatly cutting down the cost of fine …
consumption to energy usages of individual appliances, greatly cutting down the cost of fine …
Swarm and evolutionary algorithms for energy disaggregation: challenges and prospects
S Ghorbanpour, T Pamulapati… - International Journal of …, 2021 - inderscienceonline.com
Energy disaggregation is defined as the process of estimating the individual electrical
appliance energy consumption of a set of appliances in a house from the aggregated …
appliance energy consumption of a set of appliances in a house from the aggregated …
A fully unsupervised non-intrusive load monitoring framework
Monitoring an individual electrical load's energy usage is of great significance in energy-
efficient buildings as it underlies the sophisticated load control and energy optimization …
efficient buildings as it underlies the sophisticated load control and energy optimization …
Multi-objective home appliance scheduling with implicit and interactive user satisfaction modelling
Residential consumers desire to minimize electricity bills while maximizing comfort by
appropriate appliance scheduling. The conflicting nature of the objectives facilitates a multi …
appropriate appliance scheduling. The conflicting nature of the objectives facilitates a multi …
The meter tells you are at home! Non-intrusive occupancy detection via load curve data
Occupancy detection can greatly facilitate HVAC and lightning control for building energy
saving. Sensor based occupancy detection is usually costly and may suffer from high false …
saving. Sensor based occupancy detection is usually costly and may suffer from high false …
An improved non-intrusive load disaggregation algorithm and its application
The non-intrusive load monitoring (NILM) method is proposed to acquire the energy
consumption of appliances in a building. Steady-state current decomposition is one of the …
consumption of appliances in a building. Steady-state current decomposition is one of the …