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.
CITATION STYLE
Mavris, D. N., Balchanos, M., Sung, W. J., & Pinon, O. J. (2016). A data mining and visual analytics perspective on sustainability-oriented infrastructure planning. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9714 LNCS, 330–341. https://doi.org/10.1007/978-3-319-40973-3_33
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