The Impact of Energy Consumption on Global Energy Intensity Based on K-Nearest Neighbor Algorithm

Abstract

The primary objective of this study is to utilize the K-Nearest Neighbor Algorithm (KNN) to investigate the relationship between energy intensity and energy consumption across the Residential, Commercial, Industrial, Transportation, and electric power sectors. The paper approved the KNN Algorithm as more accurate than the remaining algorithms. The most influential factors affecting energy intensity are the Power Sector (61.89%), the Industrial Sector (24.62%), the Transportation Sector (8.5%), the Residential Sector (3.6%), and the Commercial Sector (1.3%). Consequently, the Industrial, Electric Power, and industrial Sectors have the most significant influence on energy intensity. Thus, enhancing the energy performance of these sectors can reduce energy intensity and maximize efficiency, leading to improved environmental sustainability.