Frederick Kaefer, Paul Kaefer. Introduction to Python Programming for Business and Social Science Applications. SAGE: August 2020. ISBN: 9781544377445.

Paul Kaefer. "Code Like It Matters: Writing Code That's Readable and Shareable." SAS Global Forum (SGF) 2018. Denver, Colorado.
Also presented at the Midwest SAS Users Group Conference 2017 in St. Louis, the June 2017 Minnesota SAS Users Group meeting, and an internal UnitedHealth Group SAS Users Group (UHGSUG) 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.
on Connected Graphs

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.

Farrokh Nourzad, Ronald H. Brown, David Clark, Adriatik Hajdari, Paul Kaefer. "A Natural Gas Consumption Model with Physical, Economic, and Energy Variables". 2014 Midwest Economics Association (MEA) conference. Chicago, IL, March 2014.

Ronald H. Brown, Paul E. Kaefer, Calvin R. Jay, and Steven R. Vitullo, "Forecasting Natural Gas Design Day Demand from Historical Monthly Data," Pipeline Simulation Interest Group, PSIG 2014, (Baltimore, MD), May 2014

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).

Paul E. Kaefer, Mohammad Adibuzzaman, Dan Thomas, Mohammad Balfas, Xiao Zang, Richard Love, Sheikh Iqbal Ahamed "OxiMUter: Android Application to Measure Blood-Oxygen Level". Marquette University, 2013. See also class presentation.

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.


Paul Kaefer. "Forecasting Natural Gas Demand for Electric Power Generation." 2013 Marquette International Research Poster Session and Forward Thinking Poster Session and Colloquy. Marquette University, Milwaukee, WI, USA. Advised by: Dr. Ronald Brown, Associate Professor, Electrical and Computer Engineering; Dr. George Corliss, Professor Emeritus, Electrical and Computer Engineering; Dr. Richard Povinelli, Associate Professor, Electrical and Computer Engineering

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