Smart Monitoring of Electrical Circuits for Distinction of Connected Devices through Current Pattern Analysis using Machine Learning Algorithms
DOI:
https://doi.org/10.4114/intartif.vol23iss66pp36-50Keywords:
Applications of AI, Pattern Recognition, Electric Current Pattern Analysis, Machine Learning, Energy EfficiencyAbstract
Energy Monitoring is a crucial activity in Energy Efficiency, which involves the study of techniques to supervise the energy consumption in a power grid, regarding the main purpose is to assure a good level of detail, to achieve consumption quotas for each connected device, for a low infrastructure cost. This paper presents the evaluation of different Machine Learning models to classify electric current patterns to identify and monitor electric charges present in circuits with a single sensing device. The models were trained and validated by a database created from signal samples of 4 electrical devices: Notebook Charger, Refrigerator, Blender and Fan. The models that presented the best metrics achieved, respectively, 97% and 100% Accuracy and 98% and 100% F1-Score, surpassing results obtained in related researches.
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Copyright (c) 2020 Iberamia & The Authors
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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Inteligencia Artificial (Ed. IBERAMIA)
ISSN: 1988-3064 (on line).
(C) IBERAMIA & The Authors