Watson, J., Staid, A., Wets, R.J.B., Woodruff, D.L., & Woodruff, D.L. (2017). Generating short-term probabilistic wind power scenarios via nonparametric forecast error density estimators: Generating short-term probabilistic wind power scenarios via nonparametric forecast error density estimators. Wind Energy, 20(12). 10.1002/we.2129
Publications
Search results
Jump to search filtersWatson, J., Staid, A., Woodruff, D.L., Winner, S., Nitsche, S., Silva-Monroy, C., & Silva-Monroy, C. (2017). Improving Wind Power Prediction Intervals Using Vendor-Supplied Probabilistic Forecast Information [Conference Poster]. https://www.osti.gov/biblio/1506929
Staid, A., Watson, J., Woodruff, D.L., Rachunok, B., & Rachunok, B. (2017). Assessment of Wind Power Scenario Generation Methods for Stochastic Unit Commitment [Conference Poster]. https://www.osti.gov/biblio/1513611
Staid, A., Watson, J., Woodruff, D.L., Wets, R., & Wets, R. (2017). Generating Short-Term Probabilistic Wind Power Scenarios via Non-Parametric Forecast Error Density Estimators [Presentation]. https://www.osti.gov/biblio/1426421
Staid, A., Watson, J., & Watson, J. (2016). Smart Scenario Generation for Power System Resilience [Conference Poster]. https://www.osti.gov/biblio/1417574
Staid, A. (2016). Assessing Power System Resilience to Adverse Weather Events [Conference Poster]. https://www.osti.gov/biblio/1418246
Watson, J., Arguello, B., Pierre, B.J., Staid, A., Laird, C., & Laird, C. (2016). A Stochastic Optimization Approach for Improving Power Systems Resilience through Operations and Planning [Conference Poster]. https://www.osti.gov/biblio/1410148
Staid, A. (2016). Predicting Wind Power Ramp Events [Conference Poster]. https://www.osti.gov/biblio/1409911
Staid, A. (2016). A Comparison of Methods for Assessing Power Output in Non-Uniform Onshore Wind Farms [Presentation]. 10.1002/we.2143
Silva-Monroy, C.A., Watson, J., Staid, A., Woodruff, D.L., & Woodruff, D.L. (2016). Generating (Day-ahead) Probabilistic Scenarios for Solar Power Production [Conference Poster]. https://www.osti.gov/biblio/1398364
Valicka, C.G., Rowe, S., Zou, S., Mitchell, S.A., Irelan, W.R., Pollard, E.L., Garcia, D., Hackebeil, G., Staid, A., Foulk, J.W., Watson, J., Hart, W.E., Rathinam, S., Ntaimo, L., & Ntaimo, L. (2016). Dynamic Multi-Sensor Multi-Mission Optimal Planning Tool. 10.2172/1562409
Valicka, C.G., Garcia, D., Staid, A., Watson, J., Foulk, J.W., Hackebeil, G., Ntaimo, L., & Ntaimo, L. (2016). Sensor Network Scheduling Under Uncertainty: Models and Benefits [Conference Poster]. https://www.osti.gov/biblio/1392760
Valicka, C.G., Garcia, D., Staid, A., Watson, J., Foulk, J.W., Hackebeil, G., Ntaimo, L., & Ntaimo, L. (2016). Sensor Network Scheduling Under Uncertainty: Models and Benefits [Conference Poster]. https://www.osti.gov/biblio/1390467
Valicka, C.G., Foulk, J.W., Hackebeil, G., Garcia, D., Staid, A., Ntaimo, L., Watson, J., & Watson, J. (2016). Constellation Scheduling Under Uncertainty: Models and Benefits [Conference Poster]. https://www.osti.gov/biblio/1368886
Valicka, C.G., Foulk, J.W., Hackebeil, G., Garcia, D., Staid, A., Ntaimo, L., Watson, J., & Watson, J. (2016). Constellation Scheduling Under Uncertainty: Models and Benefits [Conference Poster]. https://www.osti.gov/biblio/1368885
Staid, A., Verhulst, C., Guikema, S.D., & Guikema, S.D. (2016). Data mining to assess power output in non-uniform onshore wind farms [Conference Poster]. https://www.osti.gov/biblio/1422151