Real-time non-intrusive load monitoring: A light-weight and scalable approach

Christos L. Athanasiadis; Theofilos A. Papadopoulos; Dimitrios I. Doukas

doi:10.1016/j.enbuild.2021.111523

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Real-time non-intrusive load monitoring: A light-weight and scalable approach

Christos L. Athanasiadis Theofilos A. Papadopoulos Dimitrios I. Doukas

Year: 2021 Journal: Energy and Buildings Vol: 253 Pages: 111523-111523 Publisher: Elsevier BV

DOI: 10.1016/j.enbuild.2021.111523

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Keywords:

Scalability Computer science Classifier (UML) Real-time computing Thresholding Key (lock) Convolutional neural network Artificial intelligence Focus (optics) Power consumption Machine learning Power (physics) Database Computer security

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Topics

Smart Grid Energy Management

Physical Sciences → Engineering → Electrical and Electronic Engineering

Advanced Battery Technologies Research

Physical Sciences → Engineering → Automotive Engineering

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Real-time non-intrusive load monitoring: A light-weight and scalable approach

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Citation History

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