Harnessing AI to Optimize Energy Consumption in Academic Institutions to Combat Climate Change

Climate change is an escalating challenge in the modern era. While the race to adopt AI and achieve leadership in the field is pushing boundaries, the focus and impact on addressing climate change are gradually shifting. In our paper, we focus on academic institutions such as schools and colleges, and we investigate the current sources of energy consumption and effective measures currently adopted to promote sustainability. Academic Institutions are significant consumers of energy, driven by their diverse operations and facilities. From building operations such as heating, cooling, and lighting to parking lots, libraries, recreation facilities, energy-intensive research laboratories, and data centers, the demand for power is multifaceted. Additionally, the integration of IT infrastructure, residential facilities, auditoriums, charging stations for cellular devices, and electric vehicles contributes to overall consumption. With the increasing focus on sustainability, understanding power consumption patterns in academic institutions is crucial for optimizing energy usage and reducing carbon footprints. In our paper, we will explore current challenges in optimizing energy consumption at academic institutions and how GenAI can help solve these challenges. In this paper, our primary focus is to demonstrate how Generative AI can assist in optimizing energy consumption in academic institutions by using two case studies and how it plays a vital role in bringing awareness to students and educators about the importance of optimizing energy consumption in academic institutions.