IMPEC: An Integrated System for Monitoring and Processing Electricity Consumption in Buildings
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TICLab, International University of Rabat, Rabat 11100, Morocco
2
ENSIAS, Mohammed V University, Rabat BP 713, Morocco
3
School of EEE, University of Leeds, Leeds LS2 9JT, UK
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(4), 1048; https://doi.org/10.3390/s20041048
Received: 10 December 2019
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Revised: 31 January 2020
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Accepted: 5 February 2020
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Published: 14 February 2020
(This article belongs to the Special Issue Integrated Circuits, Systems, Sensors and Their Applications)
Non-intrusive Load Monitoring (NILM) systems aim at identifying and monitoring the power consumption of individual appliances using the aggregate electricity consumption. Many issues hinder their development. For example, due to the complexity of data acquisition and labeling, datasets are scarce; labeled datasets are essential for developing disaggregation and load prediction algorithms. In this paper, we introduce a new NILM system, called Integrated Monitoring and Processing Electricity Consumption (IMPEC). The main characteristics of the proposed system are flexibility, compactness, modularity, and advanced on-board processing capabilities. Both hardware and software parts of the system are described, along with several validation tests performed at residential and industrial settings.
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MDPI and ACS Style
Ahajjam, M.A.; Bonilla Licea, D.; Ghogho, M.; Kobbane, A. IMPEC: An Integrated System for Monitoring and Processing Electricity Consumption in Buildings. Sensors 2020, 20, 1048. https://doi.org/10.3390/s20041048
AMA Style
Ahajjam MA, Bonilla Licea D, Ghogho M, Kobbane A. IMPEC: An Integrated System for Monitoring and Processing Electricity Consumption in Buildings. Sensors. 2020; 20(4):1048. https://doi.org/10.3390/s20041048
Chicago/Turabian StyleAhajjam, Mohamed A., Daniel Bonilla Licea, Mounir Ghogho, and Abdellatif Kobbane. 2020. "IMPEC: An Integrated System for Monitoring and Processing Electricity Consumption in Buildings" Sensors 20, no. 4: 1048. https://doi.org/10.3390/s20041048
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