Abstract
The research presented in this paper focuses on developing a multi-scale, integrated environment that supports situational awareness, optimization, as well as forecasting and virtual experimentation at the campus level. One of the key features of this research is its ability to extend beyond the common data-driven load-forecasting exercise and integrate System-of-Systems (SoS) level predictive capabilities to enable the aforementioned functionalities. FORESIGHT, an interactive campus data browser designed to handle any visual analytics tasks on real-time data streams is presented.
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Acknowledgments
The authors would like to acknowledge the Aerospace Systems Design Laboratory (ASDL)’s Smart Campus team and extend their gratitude to the Georgia Tech Facilities group for their invaluable input and expertise.
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Mavris, D.N., Balchanos, M., Sung, W., Pinon, O.J. (2016). A Data Mining and Visual Analytics Perspective on Sustainability-Oriented Infrastructure Planning. In: Tan, Y., Shi, Y. (eds) Data Mining and Big Data. DMBD 2016. Lecture Notes in Computer Science(), vol 9714. Springer, Cham. https://doi.org/10.1007/978-3-319-40973-3_33
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DOI: https://doi.org/10.1007/978-3-319-40973-3_33
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