AI-Driven Cloud Platform for Smart Campus Energy
Keywords:
Solar energy; AI; intelligent solar energy-platform; cloud-native systems; campus operations; educational technology; containerisation; serverless architecture; data governance; privacy; energy-aware IT management; demand forecasting; digital literacy; competencies in sustainable technologies.Abstract
Energy management is becoming increasingly important in the implementation of university IT governance. This need is driven by rising costs, the increasing magnitude of a campus's IT energy footprint, and the requirement posed by Campus 2030. Current energy intelligence platforms are not sufficient for intelligent energy management of campus IT assets because they do not primarily serve educational goals, do not enable IT energy optimization, and do not allow the security and privacy of learners' data to be assured in AI applications.
Solar energy can be considered as a source of clean energy. In addition, cloud-native applications are becoming increasingly important across the IT ecosystem. Within this context, a cloud-native Solar Energy Intelligence Platform (SEIP) for Education is proposed. A SEIP monitors, forecasts, and manages the solar generation of a campus within a whole-of-campus approach. It also allows the intelligent management of the campus IT energy footprint with intelligent demand forecasting capabilities for classrooms and laboratories, while supporting curriculum and pedagogy with specific features. Finally, a curriculum-informing SEIP-Datastore is proposed for seamless integration of all platform features offered by the ecosystem.
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Copyright (c) 2024 Tanja Schultz (Author)
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