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Non-intrusive load monitoring: A review
The rapid development of technology in the electrical energy sector within the last 20 years
has led to growing electric power needs through the increased number of electrical …
has led to growing electric power needs through the increased number of electrical …
Electric energy disaggregation via non-intrusive load monitoring: A state-of-the-art systematic review
Appliance energy consumption tracking in a building is one of the vital enablers of energy
and cost saving. An economical and viable solution would be to estimate individual …
and cost saving. An economical and viable solution would be to estimate individual …
A novel non-intrusive load monitoring method based on ResNet-seq2seq networks for energy disaggregation of distributed energy resources integrated with …
The increasing effects of global warming and energy depletion have raised concerns about
the pollution caused by traditional oil and fossil energy usage. Distributed energy resources …
the pollution caused by traditional oil and fossil energy usage. Distributed energy resources …
Non-intrusive load disaggregation using graph signal processing
With the large-scale roll-out of smart metering worldwide, there is a growing need to account
for the individual contribution of appliances to the load demand. In this paper, we design a …
for the individual contribution of appliances to the load demand. In this paper, we design a …
An event-driven convolutional neural architecture for non-intrusive load monitoring of residential appliance
D Yang, X Gao, L Kong, Y Pang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Nowadays, the advancement of non-intrusive load monitoring (NILM) is hastened by the
everincreasing requirements for smart power utilization and demand side management …
everincreasing requirements for smart power utilization and demand side management …
A practical solution for non-intrusive type II load monitoring based on deep learning and post-processing
This paper presents a practical and effective non-intrusive load monitoring (NILM) solution to
estimate the energy consumption for common multi-functional home appliances (type II …
estimate the energy consumption for common multi-functional home appliances (type II …
Incorporating appliance usage patterns for non-intrusive load monitoring and load forecasting
This paper proposes a novel non-intrusive load monitoring (NILM) method which
incorporates appliance usage patterns (AUPs) to improve performance of active load …
incorporates appliance usage patterns (AUPs) to improve performance of active load …
[HTML][HTML] Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree
Providing the user with appliance-level consumption data is the core of each energy
efficiency system. To that end, non-intrusive load monitoring is employed for extracting …
efficiency system. To that end, non-intrusive load monitoring is employed for extracting …
Temporal and spectral feature learning with two-stream convolutional neural networks for appliance recognition in NILM
Non-intrusive load monitoring (NILM) can monitor the operating state and energy
consumption of appliances without deploying sub-meters and is promising to be widely used …
consumption of appliances without deploying sub-meters and is promising to be widely used …
Appliance flexibility analysis considering user behavior in home energy management system using smart plugs
S Zhai, Z Wang, X Yan, G He - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
The home energy management system (HEMS) plays an important role in enabling
residential customers to participate in demand response (DR) programs autonomously via …
residential customers to participate in demand response (DR) programs autonomously via …