AI-Based Optimization of Energy Consumption in Smart Buildings<br /><br />By: Eng. Abdullah Marza Hamza<br /><br />Sustainable Development Goals (SDGs) Addressed:<br /> Goal 7: Affordable and Clean Energy<br /> Goal 11: Sustainable Cities and Communities<br /> Goal 13: Climate Action<br /><br />Smart buildings represent a key element in future sustainable cities, and artificial intelligence (AI) is increasingly being used to optimize their energy performance. AI algorithms can learn user behavior, predict demand, and control systems like heating, lighting, and ventilation in real time.<br /><br />Using machine learning models, smart buildings can minimize energy waste, reduce peak demand, and respond dynamically to energy pricing and grid conditions. This not only lowers operational costs but also contributes to a lower carbon footprint.<br /><br />Furthermore, AI enables predictive maintenance, which reduces system failures and improves longevity of building infrastructure. Integration with renewable energy systems, like solar panels and battery storage, further enhances the sustainability profile.<br /><br />Despite privacy and cybersecurity concerns, the use of AI in smart buildings is rapidly expanding, supported by increasing connectivity, IoT devices, and the push for energy-efficient infrastructure.<br /><br />Al-Mustaqbal University – The No. 1 Private University in Iraq