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 …
Non-intrusive load monitoring under residential solar power influx
This paper proposes a novel Non-Intrusive Load Monitoring (NILM) method for a consumer
premises with a residentially installed solar plant. This method simultaneously identifies the …
premises with a residentially installed solar plant. This method simultaneously identifies the …
A load identification algorithm of frequency domain filtering under current underdetermined separation
X Wu, X Han, L Liu, B Qi - IEEE Access, 2018 - ieeexplore.ieee.org
Non-intrusive load identification is important to load monitoring and smart power utilization.
In order to effectively identify load status and obtain detailed power data, this paper …
In order to effectively identify load status and obtain detailed power data, this paper …
Device and time invariant features for transferable non-intrusive load monitoring
PA Schirmer, I Mporas - IEEE Open Access Journal of Power …, 2022 - ieeexplore.ieee.org
Non-Intrusive Load Monitoring aims to extract the energy consumption of individual
electrical appliances through disaggregation of the total power consumption as measured …
electrical appliances through disaggregation of the total power consumption as measured …
Energy disaggregation from low sampling frequency measurements using multi-layer zero crossing rate
PA Schirmer, I Mporas - ICASSP 2020-2020 IEEE International …, 2020 - ieeexplore.ieee.org
Non-Intrusive Load Monitoring aims to disaggregate the energy consumption measurements
of a smart-meter from household to device level. Most commercial smart-meters measure at …
of a smart-meter from household to device level. Most commercial smart-meters measure at …
Incorporating time-of-day usage patterns into non-intrusive load monitoring
Understanding appliance power consumption can help occupants optimize their power
consumption behaviour. One popular class of methods for determining appliance power …
consumption behaviour. One popular class of methods for determining appliance power …
Estimation of Cooling Circuits' Temperature in Battery Electric Vehicles Using Karhunen Loeve Expansion and LSTM
MS Padrós, PA Schirmer… - 2022 30th European Signal …, 2022 - ieeexplore.ieee.org
Estimation of vehicle components' temperatures is essential to compute their thermal fatigue
and life expectancy, and is typically based on lumped-parameter models, such as thermal …
and life expectancy, and is typically based on lumped-parameter models, such as thermal …
An ensemble detection model using multinomial classification of stochastic gas smart meter data to improve wellbeing monitoring in smart cities
Fuel poverty has a negative impact on the wellbeing of individuals within a household;
affecting not only comfort levels but also increased levels of seasonal mortality. Wellbeing …
affecting not only comfort levels but also increased levels of seasonal mortality. Wellbeing …
Robust non-intrusive load monitoring (nilm) with unknown loads
A Non-Intrusive Load Monitoring (NILM) method, robust even in the presence of unlearned
or unknown appliances (UUAs) is presented in this paper. In the absence of such UUAs, this …
or unknown appliances (UUAs) is presented in this paper. In the absence of such UUAs, this …
A real-time non-intrusive load monitoring system
A complete real-time (RT) implementation of a NonIntrusive Load Monitoring (NILM) system
based on uncorrelated spectral components of the active power consumption signal is …
based on uncorrelated spectral components of the active power consumption signal is …