Transfer learning for non-intrusive load monitoring
M D'Incecco, S Squartini… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Non-intrusive load monitoring (NILM) is a technique to recover source appliances from only
the recorded mains in a household. NILM is unidentifiable and thus a challenge problem …
the recorded mains in a household. NILM is unidentifiable and thus a challenge problem …
Wavenilm: A causal neural network for power disaggregation from the complex power signal
Non-intrusive load monitoring (NILM) helps meet energy conservation goals by estimating
individual appliance power usage from a single aggregate measurement. Deep neural …
individual appliance power usage from a single aggregate measurement. Deep neural …
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 …
Residential power forecasting using load identification and graph spectral clustering
Forecasting energy or power usage is an important part of providing a stable supply of
power to all customers on a power grid. We present a novel method that aims to forecast the …
power to all customers on a power grid. We present a novel method that aims to forecast the …
A generative model for non-intrusive load monitoring in commercial buildings
In the recent years, there has been an increasing academic and industrial interest for
analyzing the electrical consumption of commercial buildings. Whilst having similarities with …
analyzing the electrical consumption of commercial buildings. Whilst having similarities with …
Towards Feasible Solutions for Load Monitoring in Quebec Residences
For many years, energy monitoring at the most disaggregate level has been mainly sought
through the idea of Non-Intrusive Load Monitoring (NILM). Developing a practical …
through the idea of Non-Intrusive Load Monitoring (NILM). Developing a practical …
A review on non-intrusive load monitoring approaches based on machine learning
Residential energy smart management (RESM) has received considerable momentum in
the recent decade considering its strong impact on the total energy consumption and the …
the recent decade considering its strong impact on the total energy consumption and the …
Research on non-intrusive load disaggregation method based on multi-model combination
Y Guo, X Xiong, Q Fu, L Xu, S Jing - Electric Power Systems Research, 2021 - Elsevier
Abstract Non-Intrusive Load Monitoring (NILM) technology is used to obtain the detail of
household electricity consumption by analyzing total electricity consumption data without …
household electricity consumption by analyzing total electricity consumption data without …
Residential power forecasting based on affinity aggregation spectral clustering
Power utility companies rely on forecasting to anticipate future consumption needs, plan
power production, and schedule the selling/purchasing of power. We present a novel …
power production, and schedule the selling/purchasing of power. We present a novel …
Unsupervised Bayesian non parametric approach for non-intrusive load monitoring based on time of usage
Abstract Infinite Factorial Hidden Markov Model (iFHMM) is an attractive extension of
Factorial Hidden Markov Model for Non-Intrusive Load Monitoring (NILM) which infers …
Factorial Hidden Markov Model for Non-Intrusive Load Monitoring (NILM) which infers …