Paul Kaefer. "Code Like It Matters: Writing Code That's Readable and Shareable." Midwest SAS Users Group Conference, 2017. St. Louis.
Also presented at the June 2017 Minnesota SAS Users Group meeting, and an internal UnitedHealth Group SAS Users Group meeting.
Paul E. Kaefer. "Transforming Analogous Time Series Data to Improve Natural Gas Demand Forecast Accuracy." Marquette University. Master's Thesis. 2015.
Ronald H. Brown, Steven R. Vitullo, George F. Corliss, Monica Adya, Paul E. Kaefer, Richard J. Povinelli. "Detrending Daily Natural Gas Consumption Series to Improve Short-Term Forecasts." IEEE Power and Energy Society 2015 conference.
Paul E. Kaefer, Babatunde Ishola, Ronald H. Brown, and George F. Corliss. "Using Surrogate Data to Mitigate the Risks of Natural Gas Forecasting on Unusual Days." International Institute of Forecasters: 35th International Symposium on Forecasting, 2015. forecasters.org/isf.
Hermine N. Akouemo, William D. Castedo, Maral Fakoor, Babatunde Ishola, Paul E. Kaefer, Andrew N. Kirkham, Mohammad Saber, Andrew Tran, Nicholas A. Winninger, and Ronald H. Brown. "Optimizing a Weighted Combination of Weather Station Data to Improve Energy Demand Forecasting." (In Preparation).
George F. Corliss, Paul Kaefer, William D. Castedo, Richard J. Povinelli, and Ronald H. Brown. "Energy Demand Forecasts with Confidence Intervals." (In Preparation).
Ronald H. Brown, Paul E. Kaefer, Calvin R. Jay, and Steven R. Vitullo. "Forecasting Natural Gas Design Day Demand from Historical Monthly Data." PSIG 2014 Conference Proceedings.
Paul Kaefer, Dustin Venske, Kevin Germino, and Andrew B. Williams. "Computational Awareness in a Tactile-Responsive Humanoid Robot Comedian." 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Manchester, UK.