Data-Driven Prediction of Electrical Energy Efficiency from Consumer Behavior

Abstract

Energy efficiency has been an important concern in India since the latter part of the twentieth century. The primary objective of this survey is to evaluate the level of energy efficiency awareness among Indian consumers. For this purpose, households and showrooms in two districts—Bengaluru Urban (Karnataka) and Ghaziabad (Uttar Pradesh)—were selected for data collection, including feedback from sellers. The collected data was analyzed to develop regression models aimed at predicting individual awareness of energy efficiency. The analysis focused on five key criteria to identify factors influencing consumer knowledge and behavior regarding energy-efficient practices. The survey results indicate that energy efficiency awareness in India remains relatively low, particularly in smaller households and less urbanized areas. Using a dataset comprising approximately 50 households and 25 showrooms, relationships between household energy use behaviors were estimated. The findings suggest that knowledge of energy consumption patterns and available energy-efficient technologies is positively associated with the adoption of energy conservation measures. Additionally, household characteristics, including age, education, and income, significantly influence energy use behaviors, with younger and more educated households showing a higher likelihood of adopting energy-efficient appliances and practices. These insights highlight the need for targeted awareness campaigns and educational initiatives to promote energy-efficient practices across diverse consumer groups in India