LibraryFlorida State University, College of Social Work Case LibraryAI-Driven Campus Energy Optimization at Florida State University
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Last Updated: 03/24/2026
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Background & Objective
The challenge or opportunity you are trying to address for the organization. |
Florida State University operates as a leading educational institution with a multifaceted revenue model that includes tuition fees, government funding, donations, and research grants. Its competitive moat lies in its strong brand reputation, comprehensive academic programs, and commitment to research and innovation. In the market, FSU is perceived as a forward-thinking institution that embraces new technologies to enhance its educational offerings and operational efficiency. The broader industry landscape is shaped by several macro trends, including increasing regulatory pressures on sustainability, rapid advancements in AI and ML technologies, and a growing emphasis on sustainable practices in higher education. Universities are under pressure to reduce their carbon footprints while maintaining the quality of their services, and FSU is no exception. Technological change presents both opportunities and challenges as institutions strive to keep pace with evolving AI capabilities and integrate them into their operations. This moment is strategically important due to several recent developments. The increasing cost of energy and heightened awareness of climate change have made energy efficiency a critical priority for FSU. Additionally, advancements in AI and ML technologies now provide viable solutions for optimizing energy management. The cost of inaction could result in higher operational expenses and missed opportunities to enhance FSU's sustainability credentials. |
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Learning Objectives
This is what students will learn as they complete the case. |
This case immerses students in a dynamic intersection of AI technology and sustainability at Florida State University, challenging them to deliver innovative solutions for energy efficiency. The strategic stakes are high, demanding a robust application of technical and analytical skills in a real-world context.
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