@inproceedings{6602acbe23784b7e99443dd8315c0570,
title = "Techniques for improving wind to power conversion",
abstract = "In forecasting wind farm power output, it is important to obtain an accurate farm power output estimate based on given forecast winds. Generally, the manufacturer's turbine power curves are applied to obtain this estimate. In this paper we will discuss the errors that result from using the manufacturer's power curves at actual wind farms. We will discuss alternative approaches that statistically model the power output based on incorporating air density data with actual wind and power observations at wind farms. We will show how these alternative approaches can reduce the overall conversion error and can thus be superior to using the manufacturer's power curves.",
keywords = "Data mining, Power curve, Power forecasting, Wind forecasting, Wind power, Wind turbine",
author = "Gerry Wiener and Haupt, \{Sue Ellen\} and Bill Myers and Seth Linden and Julia Pearson and Laura Imbler",
year = "2012",
language = "English",
isbn = "9781622760923",
series = "World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conferen",
pages = "1016--1020",
booktitle = "World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference",
note = "World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference ; Conference date: 13-05-2012 Through 17-05-2012",
}