@misc{4338be77af1c4a508cfef88f28439e3c,
title = "Empirical Results Suggest Quasi-Monte Carlo Sampling Increases Accuracy in the Estimation of Annual Energy Production from Operational Data",
abstract = "Quasi-Monte Carlo sampling was implemented in the OpenOA annual energy production analysis method. Preliminary results show that this method improves the order of the asymptotic convergence of OpenOA{\textquoteright}s AEP estimates.",
keywords = "annual energy production, OpenOA, operational analysis, quasi-Monte Carlo",
author = "Jordan Perr-Sauer and Nicola Bodini and Stephen Becker and Eric Simley and Rob Hammond and Jason Fields",
year = "2022",
language = "American English",
series = "Presented at the North American Wind Energy Academy (NAWEA) Wind Technology Conference, 20-22 September 2022, Newark, Delaware",
publisher = "National Laboratory of the Rockies (NLR)",
address = "United States",
type = "Other",
}