Machine learning approaches for non-intrusive load monitoring: from qualitative to quantitative comparation
C Nalmpantis, D Vrakas - Artificial Intelligence Review, 2019 - Springer
Non-intrusive load monitoring (NILM) is the prevailing method used to monitor the energy
profile of a domestic building and disaggregate the total power consumption into …
profile of a domestic building and disaggregate the total power consumption into …
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 …
Privacy preserving smart meter streaming against information leakage of appliance status
The smart grid frequently collects consumers' fine-grained power usage data through smart
meters to facilitate various applications, such as billing, load monitoring, regional statistics …
meters to facilitate various applications, such as billing, load monitoring, regional statistics …
An in depth study into using EMI signatures for appliance identification
Energy conservation is a key factor towards long term energy sustainability. Real-time end
user energy feedback, using disaggregated electric load composition, can play a pivotal role …
user energy feedback, using disaggregated electric load composition, can play a pivotal role …
Frequency invariant transformation of periodic signals (FIT-PS) for classification in NILM
This paper presents a new signal representation called frequency invariant transformation of
periodic signals (FIT-PSs) in the context of non-intrusive load monitoring (NILM). Compared …
periodic signals (FIT-PSs) in the context of non-intrusive load monitoring (NILM). Compared …
On the impact of temporal data resolution on the accuracy of non-intrusive load monitoring
J Huchtkoetter, A Reinhardt - Proceedings of the 7th ACM International …, 2020 - dl.acm.org
Many approaches to perform Non-Intrusive Load Monitoring, ie, to disaggregate electrical
load curves collected at a single measurement point, have been presented in literature. The …
load curves collected at a single measurement point, have been presented in literature. The …
Quantifying the Utility--Privacy tradeoff in the internet of things
The Internet of Things (IoT) promises many advantages in the control and monitoring of
physical systems from both efficacy and efficiency perspectives. However, in the wrong …
physical systems from both efficacy and efficiency perspectives. However, in the wrong …
Differential privacy of populations in routing games
As our ground transportation infrastructure modernizes, the large amount of data being
measured, transmitted, and stored motivates an analysis of the privacy aspect of these …
measured, transmitted, and stored motivates an analysis of the privacy aspect of these …
Proficiency of power values for load disaggregation
M Pöchacker, D Egarter… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Load disaggregation techniques infer the operation of different power-consuming devices
from a single measurement point that records the total power drawn over time. Thus, a …
from a single measurement point that records the total power drawn over time. Thus, a …
Incentive design and utility learning via energy disaggregation
The utility company has many motivations for modifying energy consumption patterns of
consumers such as revenue decoupling and demand response programs. We model the …
consumers such as revenue decoupling and demand response programs. We model the …