Trans Med OA, 2024 Volume 2 | Issue 2 | 1 Analyzing the Impact of Diferent Shading Devices on Energy Consumption and Thermal Comfort in Ofce Buildings Using Machine Learning and Energy Simulation in Three Diferent Climates of Iran Research Article Mohammad Hassan Abedini* * Corresponding Author Mohammad Hassan Abedini, Department of Architecture, Faculty of Architecture and Urbanism, Shahrood University of Technology, Shahrood, Iran. Submitted: 2024, Nov 08; Accepted: 2024, Dec 05; Published: 2024, Dec 12 Citation: Abedini, M. H. (2024), Analyzing the Impact of Diferent Shading Devices on Energy Consumption and Thermal Comfort in Ofce Buildings Using Machine Learning and Energy Simulation in Three Diferent Climates of Iran. Trans Med OA, 2(2), 01-08. Abstract This study investigates the impact of three types of shading devices, including overhangs, louvers, and side fns, on energy consumption and thermal comfort in ofce buildings. The analysis utilizes climatic data from three cities—Yazd, Tehran, and Bandar Abbas—extracted from EPW fles and simulated using the Honeybee and Ladybug tools. Additionally, the XGBoost machine learning model is employed to provide more accurate predictions of shading devices' efects on indoor temperature and energy consumption. Key climatic factors such as temperature, solar radiation, humidity, and wind speed are used as input variables for the model. The results indicate that overhangs in the hot and dry climate of Yazd signifcantly reduce energy consumption, while louvers demonstrate the highest efciency in the hot and humid conditions of Bandar Abbas. This study highlights the importance of combining energy simulations with machine learning algorithms to optimize shading device design and improve thermal and lighting comfort. Department of Architecture, Faculty of Architecture and Urbanism, Shahrood University of Technology, Shahrood, Iran Keywords: Energy Optimization, Passive Shading Devices, Machine Learning, Energy Simulation, XGBoost Translational Medicine : Open Access ISSN 2993-5407 1. Introduction The Importance of Energy Optimization in Buildings the building sector accounts for more than 30% of global energy consumption, making it one of the largest contributors to energy demand and associated environmental impacts [1,2]. As urbanization continues to rise, particularly in developing countries and regions with hot climates, managing and optimizing energy use in buildings has become critical. Energy consumption in buildings not only results in higher operational costs but also contributes to increased greenhouse gas emissions, exacerbating climate change [3,4]. In regions with extreme climates, such as Iran, where temperatures can soar during the summer months, energy demands for cooling systems are substantial [3]. Passive energy-saving strategies, such as the use of shading devices, ofer a viable solution for reducing energy consumption and enhancing thermal comfort [5]. Shading systems,including overhangs, louvers, and side fns, have been widely recognized for their ability to minimize solar radiation and reduce the reliance on mechanical cooling, thus contributing to energy efciency [1-3]. 2. Review of Previous Research Extensive research has examined the impact of shading devices on energy consumption in buildings, with numerous studies highlighting their efectiveness in reducing the thermal load on cooling systems. For example, research on dynamic photovoltaic shading devices demonstrated the dual benefts of reducing energy consumption and improving daylighting in ofce buildings [3]. Similarly, studies utilizing machine learning techniques to estimate energy use have shown that shading devices can improve predictive accuracy while reducing cooling demands [2]. Other research has focused on adaptive façade technologies, revealing that these systems can mitigate the risk of overheating