Análisis energético AC de dos elementos conectados a la red eléctrica

Abstract

This work is oriented to perform an analysis and pervision of the information on the electrical consumption of household appliances in homes and buildings. In its execution, 2 daily household appliances (TV and washing machine) were involved. A specialized measurement system was developed and Application Programming Interfaces (APIS) -Power monitor and Low-Power Wide-Area Network LPWAN) SIGFOX Colombia technologies were implemented, for data acquisition, behavior monitoring and sent to the Cloud ). In order to monitor energy consumption patterns that help to have a better energy quality, an Amazon Web Services (AWS) tool aimed at Machine Learning (ML) under algorithms in Python language was used. For this work the Support Vector Machine Algorithms (SVM), Random Forest and (K-Means) facilitated the prediction and analysis of power consumption in the two appliances, especially the SVM, optimal for energy analysis.