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Richard J. Povinelli

Publications - Conference (Non-Refereed)

Conference (Non-Refereed)

*Students' names are italicized.
 

N6.

Colin O. Quinn, Richard J. Povinelli, Jaired R. Collins, and Jake Norment. (2019) "Predicting Natural Gas Pipeline Alarms," International Symposium on Forecasting, Thessaloniki, Greece. (pdf)
 

N5.

Jarrett Smalley, David Kaftan, Ronald H. Brown, George F. Corliss, Richard J. Povinelli. (2018) "Forecasting Design Day Demand Using Extremal Quantile Regression, " International Symposium on Forecasting, Denver, Colorado. (pdf)
 

N4.

Richard J. Povinelli, Gregory D. Merkel, Ronald H. Brown. (2017) "Deep Neural Network Regression as a Component of a Forecast Ensemble," International Symposium on Forecasting, Cairns, Australia. (pdf)
 

N3.

Gregory D. Merkel, Richard J. Povinelli, Ronald H. Brown. (2017) "Deep Neural Network Regression for Short-Term Load Forecasting of Natural Gas," International Symposium on Forecasting, Cairns, Australia. (pdf)
 

N2.

Ronald H. Brown, David J. Kaftan, Jarrett L. Smalley, Maral Fakoor, Sarah J. Graupman, Richard J. Povinelli, George F. Corliss. (2017) "Improving Daily Natural Gas Forecasting by Tracking and Combining Models," International Symposium on Forecasting, Cairns, Australia. (pdf)
 

N1.

Richard J. Povinelli. (2000) "Improving Computational Performance of Genetic Algorithms: A Comparison of Techniques" GECCO 2000 Late Breaking Papers, 297-302. (pdf)

Availability

Richard J. Povinelli, Ph.D., P.E.

Office: EN 221 (Haggerty Hall)

Online: Teams
Phone: (414) 288-7088


Hours of Availablilty:

Tuesdays — 2:00 - 3:45 pm

Thursdays — 3:00 - 3:45 pm

 

If these times do not work for you, please make an appointment on Outlook 365 and schedule a time that works for both of us.

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