Results 41 to 50 of about 57,754 (187)
Sensors, 2021 Acting as a virtual sensor network for household appliance energy use monitoring, non-intrusive load monitoring is emerging as the technical basis for refined electricity analysis as well as home energy management.
Yu Liu +5 more
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Application of a novel method for soil aggregate stability measurement by laser granulometry with sonication [PDF]
, 2013 Aggregate stability is an important physical indicator of soil quality, and so methods are required to measure it rapidly and cost-effectively so that sufficient data can be collected to detect change with adequate statistical power. The standard methods
Lark, R.M., Rawlins, B.G., Wragg, J.
core +2 more sources
Inventions, 2018 Demand side management has a vital role in supporting the demand response in smart grid infrastructure, in the decision-making of energy management, in household applications is significantly affected by the load-forecasting accuracy.
Ahmed F. Ebrahim, Osama A. Mohammed
doaj +1 more source
A Nonintrusive Load Monitoring Based on Multi-Target Regression Approach
IEEE Access, 2021 This paper proposes an experimental design process for the application of energy disaggregation using multi-target regression, a new data learning approach in this application area.
Bundit Buddhahai, Stephen Makonin
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Using food intake records to estimate compliance with the Eatwell plate dietary guidelines [PDF]
, 2017 This work was supported by the Scottish Government's Rural and Environment Science and Analytical Services (RESAS) Division. The original studies, from which the current data were taken, were funded by the Food Standards Agency, UK, and the Biscuit, Cake,
Clark, H. +4 more
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Kalman filtering for energy disaggregation
IFAC-PapersOnLine, 2018 Abstract Providing the users information on the energy consumed in the household at the appliance level is of major importance for increasing their awareness of their consumption behavior. In this paper, we propose a technique based on Kalman filters to estimate the devices’ consumption patterns from aggregate readings, i.e., to solve the so called ...
Breschi V., Piga D., Bemporad A.
openaire +2 more sources
Structured Dictionary Learning for Energy Disaggregation [PDF]
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019 10 ...
Pandey, Shalini, Karypis, George
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Determining the Macrostructural Stability of Compacted Wyoming Bentonites by a Disaggregation Method
Applied Sciences, 2023 The use of compacted bentonites in radioactive waste repository barriers is a relevant application of geoenvironmental engineering. The on-site structural characteristics of the bentonites determine the performance and integrity of the barrier.
José Manuel Moreno-Maroto +5 more
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Data Mining to Uncover Heterogeneous Water Use Behaviors From Smart Meter Data [PDF]
, 2019 Knowledge on the determinants and patterns of water demand for different consumers supports the design of customized demand management strategies. Smart meters coupled with big data analytics tools create a unique opportunity to support such strategies ...
Castelletti, A. +10 more
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Fog-based AI image analysis for load disaggregation using Random Forest and XGBoost [PDF]
E3S Web of ConferencesThe use of artificial intelligence to energy systems is growing, and image-based analysis is showing promise as a tool to improve optimization and monitoring.
Băldean Adela-Ștefania +4 more
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