AI-Enhanced Power Management System for Buildings: A Review and Suggestions

Abstract

Modern power management systems are highly recommended for institutes to enhance power saving, as they effectively stratify their activities. These systems are essential to integrate intelligent methods, such as machine learning and deep learning, to make optimal decisions in managing consumed power and significantly minimize energy usage. In this review, we delve into the concept of smart energy management, focusing on three key areas: Wireless Sensor Networks (WSN), Building Information Modeling (BIM), and Artificial Intelligence (AI) techniques represented by deep learning (DL) and machine learning (ML) approaches. The primary objective of this review is to propose an optimized model for an energy management system based on a clustered WSN that collects the required information. Additionally, we explore how data from buildings' BIM systems can be effectively utilized to create an optimized method for managing power consumption using ML/DL techniques, specifically applicable to smart buildings. Implementing this solution can efficiently manage power consumption in institute buildings, leading to significant energy savings and reduced related costs.