Energy Optimization and Environmental Management in Industrial and Commercial Buildings Using IoT-Enabled Intelligent Systems

Khatibi Bardsiri, Amid; Mobbaserfar, Freshteh; Khatibi Bardsiri, Vahid

doi:10.48306/estm.2026.561994.1016

Energy Optimization and Environmental Management in Industrial and Commercial Buildings Using IoT-Enabled Intelligent Systems

Document Type : Original Article

Authors

Amid Khatibi Bardsiri ¹

Freshteh Mobbaserfar ²

Vahid Khatibi Bardsiri ³

¹ Department of Computer engineering, Ke.C., Islamic Azad University, Kerman, Iran

² Department of Architecture engineering, Ke.C., Islamic Azad University, Kerman, Iran

³ گروه مهندسی کامپیوتر، واحد کرمان، دانشگاه آزاد اسلامی، کرمان، ایران

10.48306/estm.2026.561994.1016

Abstract

The growing demand for reduced energy consumption in industrial and commercial buildings has positioned energy optimization as one of the central challenges in the building industry. This study examines the design and implementation of intelligent systems aimed at optimizing energy use in industrial and commercial facilities through the integration of the Internet of Things (IoT) and machine learning techniques. The primary objective is to employ advanced technologies to decrease overall energy consumption, enhance operational efficiency, and maintain favorable environmental conditions within these buildings. The paper first introduces smart building systems and the role of IoT in energy management, followed by an explanation of how machine learning algorithms can be utilized for energy prediction and optimization. It then outlines the design of IoT-based architectures for monitoring and controlling energy consumption, incorporating a network of sensors and smart devices. The findings indicate that leveraging these technologies can result in a 25–30 percent reduction in energy usage. Furthermore, the proposed systems demonstrate effective control over temperature, humidity, and lighting, ultimately lowering energy costs and improving occupant comfort.

Keywords

Internet of Things

Energy Consumption Optimization

Machine Learning

Smart Buildings

Energy Management Systems (EMS)

Predictive Energy Modeling

Subjects

Energy Conversion and Management

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