@inproceedings{2b8f72ad2bbe46558e0ad031f1fa1fc8,
title = "One day ahead prediction of wind speed based on power and exponential",
abstract = "This paper presents a new model for predicting wind speed. This technique is based on using a power and a exponential model relating the predicted interval to its corresponding one-year old data. The accuracy of the model for predicting wind speeds and directions up to 24 h ahead have been investigated using two sets of data. Generated results are compared with reference [1]. The presented results validate the effectiveness and accuracy of the proposed prediction model for wind speed.",
keywords = "Least-square method, Wind speed prediction",
author = "M. Gholami and Gharehpetian, {G. B.} and M. Davari",
year = "2010",
doi = "10.1109/PEOCO.2010.5559177",
language = "English",
isbn = "9781424471287",
series = "PEOCO 2010 - 4th International Power Engineering and Optimization Conference, Program and Abstracts",
pages = "449--452",
booktitle = "PEOCO 2010 - 4th International Power Engineering and Optimization Conference, Program and Abstracts",
note = "4th International Power Engineering and Optimization Conference, PEOCO 2010 ; Conference date: 23-06-2010 Through 24-06-2010",
}