Energy Audit System for Households using Machine Learning

The growth in population and economics the global demand for energy is increased considerably. large amount of comes from houses. Because this efficiency houses considered most important aspect towards sustainability. machine learning algorithms contributed heavily predicting consumed household level. In paper, a audit system using are developed to estimate at level order identify probable areas plug wastage household. Each trained one leaning algorithm with previous power consumption history training data. By converting data into knowledge, gratification analysis attained. performance Linear Regression 82%, Decision Tree 86% Random Forest 91% predicted methods were evaluated based on heir predictive accuracy, ease user friendly characteristics. superior when compare other system.