Results 91 to 100 of about 57,754 (187)
A power extraction approach with load state modification for energy disaggregation
Energy and AIEnergy disaggregation is a technology that disassembles the energy consumption from the entire house into load-level contributions. One of the foundational tasks for this technology is to accurately ascertain the truth electrical energy consumption of ...
Yusen Zhang +4 more
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Algorithms for energy disaggregation
, 2016 In this project we compare three different solutions to the energy disaggregation problem. We test the algorithms on a reference dataset, and try to learn about the requirements and feasibility of energy disaggregation as a potential commercial product.
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Energy Disaggregation on an Embedded System
, 2022 Due to the ever-increasing energy consumption, research is needed to create technologies counteracting energy waste and thus reducing CO2 emissions. For example, in the area of electricity consumption in households, non-intrusive load monitoring (NILM) allows the electricity consumption of a household, which is measured via a single smart meter, to be ...
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Eu Project Charged: Cleanwebgamified Energy Disaggregation
, 2017 ChArGED addresses energy consumption in public buildings and proposes a framework that aims to facilitate achieving greater energy efficiency and reductions of wasted energy in public buildings. The framework leverages IoT enabled, low-cost devices to improve energy disaggregation mechanisms that provide energy use and -consequently- wastages at the ...
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Nonintrusive Load Disaggregation Based on Attention Neural Networks
International Transactions on Electrical Energy SystemsNonintrusive load monitoring (NILM), also known as energy disaggregation, infers the energy consumption of individual appliances from household metered electricity data.
Shunfu Lin +6 more
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Bayesian Nonparametric Hidden Semi-Markov Models
, 2012 There is much interest in the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) as a natural Bayesian nonparametric extension of the ubiquitous Hidden Markov Model for learning from sequential and time-series data.
Johnson, Matthew J., Willsky, Alan S.
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Residential Consumer-Centric Demand-Side Management Based on Energy Disaggregation-Piloting Constrained Swarm Intelligence: Towards Edge Computing. [PDF]
Sensors (Basel), 2018 Lin YH, Hu YC.
europepmc +1 more source
Diversity and Security in UK Electricity Generation: The Influence of Low Carbon Objectives [PDF]
We explore the relationship between low carbon objectives and the strategic security of electricity in the context of the UK Electricity System. We consider diversity of fuel source mix to represent one dimension of security - robustness against ...
Butler, L., Grubb, M., Sinden, G.
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Forecasting aggregate and disaggregates with common features. [PDF]
The paper is focused on providing joint consistent forecasts for an aggregate and all its components and in showing that this indirect forecast of the aggregate is at least as accurate as the direct one.
Espasa, Antoni, Mayo, Iván
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Energy feedback enabled by load disaggregation [PDF]
, 2016 Motivated by recent advances in load disaggregation, we discuss innovative tools for understanding household appliance energy consumption and patterns of appliance use for energy feedback generation, developed as part of the EPSRC REFIT project. We show how analytical tools applied on disaggregated data can lead to a variety of energy feedback ranging ...
Stankovic, Lina +3 more
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