Results 51 to 60 of about 57,754 (187)
HeartDIS: A Generalizable End-to-End Energy Disaggregation Pipeline
Energies, 2023 The need for a more energy-efficient future is now more evident than ever. Energy disagreggation (NILM) methodologies have been proposed as an effective solution for the reduction in energy consumption.
Ilias Dimitriadis +5 more
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An Implementation Framework Overview of Non-Intrusive Load Monitoring
Journal of Sustainable Development of Energy, Water and Environment Systems, 2023 The implementation of non-intrusive load monitoring has gained significant attention as a promising solution for disaggregating and identifying individual appliances' energy consumption within households and commercial buildings. The issue at the core of
Omar Al-Khadher +4 more
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Contextual Sequence-to-Point Deep Learning for Household Energy Disaggregation
IEEE Access, 2023 This paper examines a contextual paradigm for energy disaggregation using Non-Intrusive Load Monitoring (NILM). Due to numerous issues including low sampling rates, missing data, misaligned readings, and diverse combinations of nonlinear and multi-state ...
Mohammed Ayub, El-Sayed M. El-Alfy
doaj +1 more source
Part 2: pushing the envelope. A process perspective for architecture, engineering and construction [PDF]
, 2015 In this article, I am building on an emerging 'process view of nature' and how biological membranes emerge through the combined action of (locally) autonomous construction agents.
Soar, R
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IEEE AccessNon-intrusive load monitoring (NILM) is emerging as a useful approach to improving the energy efficiency of buildings and households, particularly in the face of the growing challenges of environmental sustainability.
Leonce W. Tokam +2 more
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Training-Free Non-Intrusive Load Monitoring of Electric Vehicle Charging with Low Sampling Rate
, 2014 Non-intrusive load monitoring (NILM) is an important topic in smart-grid and smart-home. Many energy disaggregation algorithms have been proposed to detect various individual appliances from one aggregated signal observation.
Hwang, Dong Yoon +6 more
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Disaggregate consumption feedback and energy conservation
, 2021 Novel information technologies have the potential to improve decision making. In the context of smart metering, we investigate the impact of providing households with appliance-level electricity feedback. In a randomized controlled trial, we find that the provision of appliance-level feedback creates a conservation effect of an additional 5% relative ...
Gerster, Andreas +2 more
openaire +2 more sources
Optimization-Based Energy Disaggregation: A Constrained Multi-Objective Approach
Mathematics, 2023 Recently, optimization-based energy disaggregation (ED) algorithms have been gaining significance due to their capability to perform disaggregation with minimal information compared to the pattern-based ED algorithms, which demand large amounts of data ...
Jeewon Park +2 more
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A fractal fragmentation model for rockfalls [PDF]
, 2017 The final publication is available at Springer via http://dx.doi.org/10.1007/s10346-016-0773-8The impact-induced rock mass fragmentation in a rockfall is analyzed by comparing the in situ block size distribution (IBSD) of the rock mass detached from the ...
Corominas Dulcet, Jordi +2 more
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Interleaved Factorial Non-Homogeneous Hidden Markov Models for Energy Disaggregation [PDF]
, 2014 To reduce energy demand in households it is useful to know which electrical appliances are in use at what times. Monitoring individual appliances is costly and intrusive, whereas data on overall household electricity use is more easily obtained.
Goddard, Nigel +2 more
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