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Unsupervised Disaggregation for Non-intrusive Load Monitoring
2012 11th International Conference on Machine Learning and Applications, 2012A method for unsupervised disaggregation of appliance signatures from smart meter data is presented. The primary feature used for unsupervised learning relates to abrupt transitions or magnitude changes in the power waveform. The method consists of a sequence of procedures for appliance signature identification, and disaggregation using hidden Markov ...
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Non Intrusive Load Monitoring and Load Disaggregation using Transient Data Analysis
2018 Conference on Information and Communication Technology (CICT), 2018Non Intrusive Load Monitoring (NILM) is gaining importance due to its crucial role in energy management and conservation. NILM uses smart meter data (aggregated power, current, power factor, etc.), and based on unique load signatures, it identifies different loads in operation at any point of time.
Vijay Rathore, Sachin Kumar Jain
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Short-term forecast model of cooling load using load component disaggregation
Applied Thermal Engineering, 2019Abstract Data-driven approaches are widely applied in predicting the cooling load of buildings. Among these approaches, modelling the decomposed components of the cooling load can best capture data characteristics to enhance prediction performance.
Xinyi Lin +4 more
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Load Disaggregation Method Considering Multiple Load Characteristics
2023 8th Asia Conference on Power and Electrical Engineering (ACPEE), 2023Guangyu Liu +3 more
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On Electrical Load Disaggregation using Recurrent Neural Networks
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2019In a residential setting, Load disaggregation (LD) is about obtaining appliance-specific operational details in terms of time and power consumption by processing aggregate power consumption data. The disaggregated load information helps utilities to categorize customers based on their usage patterns, facilitating optimal demand response design. Further,
Rajasekhar Gopu +4 more
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Spatiotemporal lighting load disaggregation using light intensity signal
Energy and Buildings, 2014Abstract Lighting systems in commercial buildings are major contributors to the electricity consumption while occupants of these buildings are usually not aware of the effect of their energy-related behavior on the electricity consumption. A non-intrusive load disaggregation approach for lighting systems in office buildings was proposed and evaluated
Farrokh Jazizadeh +3 more
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Hidden semi-Markov models for electricity load disaggregation
ACM SIGMETRICS Performance Evaluation Review, 2019This paper assesses the performance of a technique for estimating the power consumption of individual devices based on aggregate consumption. The new semi-Markov technique, outperforms pure hidden Markov models on the REDD dataset. The technique also exploits information from transients to eliminate a substantial fraction of the observed ...
Yung Fei Wong +2 more
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Load Disaggregation using Graph Signal Processing
2023 IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation (SEFET), 2023C. Baskar +2 more
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Pragmatic Domestic Electrical Load Disaggregation
2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC), 2023openaire +1 more source
SARS-CoV-2 viral load and shedding kinetics
Nature Reviews Microbiology, 2022Olha Puhach +2 more
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