In this website you
will find a collection of data sets containing weather uncertainty
information generated from the numerical weather predicition model WRF
and Gaussian Process models. These data sets can be used in
diverse stochastic optimization studies. Since a lot of effort
has been dedicated to collecting this information, we kindly ask you to
cite the reference papers if you use the data.
Pittsburgh Ambient Temperature Samples
[link]
- Setting: August
1st-6th, 2006 running WRF with a 5 day forecast horizon.
- Applications:
Building Energy Management, Power Plant Optimization, Load Forecasting.
- Reference: Zavala, V. M.;
Constantinescu, E. M.; Krause,
T.; and Anitescu,
M. On-Line Economic
Optimization of Energy Systems Using Weather Forecast Information. Journal
of Process Control, 19(10), pp.
1725-1736, 2009. [pdf]
Illinois
Wind
Speed
and
Power Samples [link]
- Setting: June
2nd-4th, 2006 running WRF with a 24 hr forecast horizon and
reassimilating data every 24 hr.
- Applications:
Wind Forecasting for Unit Commitment and Economic Dispatch.
- Reference: Constantinescu, E. M.; Zavala, V. M.; Rocklin, M.; Lee, S.; and Anitescu,
M. A Computational
Framework for Uncertainty Quantification and Stochastic Optimization in
Unit Commitment with Wind Power Generation. IEEE
Transactions on Power Systems,
26(1), pp. 431-441, 2010. [pdf]
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