Energy Consumption Pattern Analysis and Optimization in Buildings Using K-Means Clustering and Machine Learning

to analyze energy usage behaviors and identify hidden consumption patterns through data-driven approaches. It aims to apply K-Means clustering and machine learning techniques to optimize energy utilization, reduce wastage, and enhance efficiency in building operations. Furthermore, the objective is to support sustainable energy management by enabling intelligent decision-making for cost savings and environmental benefits.