Time Series, Forecasting (Especially Energy Forecasting), Time Series Disaggregation Control Systems, Machines and Power Systems
S.R. Vitullo , G.R. Corliss, R. H. Brown. Combining Time Series Disaggregators. 32nd International Symposium on Forecasting. June 2012.
G. Corliss, T. Sakauchi, S. Vitullo, and R. Brown. Exploiting Domain Knowledge to Forecast Heating Oil Consumption. AMMCS-2011, Laurier Centennial: International Conference on Applied Mathematics, Modeling & Computational Science. July 2011.
R. Brown, Y. Li, B. Pang, S. Vitullo, and G. Corliss. Detrending Daily Natural Gas Demand Data Using Domain Knowledge. 30th International Symposium on Forecasting. June 2010.
S.R. Vitullo, R.H. Brown, G.F. Corliss, B.M. Marx. Mathematical models for natural gas forecasting. Canadian Applied Mathematics Quarterly. 17 (2009) 807-827.
B. Marx, S. Vitullo, G. Corliss, M. Adya, and R. Brown. Forecasting Peak Weather Using Heuristically Selected Probability Distributions. Southern Gas Association: Gas Forecasters Forum. October 2006.
The Department of Mathematics, Statistics and Computer Science is hosting the NSF-funded Summer 2013 Research Experience (REU) for Undergraduates. This program provides U.S. undergraduates with an intensive, faculty-mentored, summer research experience in the areas of applied mathematics, high-performance computing, statistics, ubiquitous systems and mathematics education. Learn more