Title :
One day ahead prediction of wind speed based on power and exponential
Author :
Gholami, M. ; Gharehpetian, G.B. ; Davari, M.
Author_Institution :
Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran
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 mean squares methods; wind power; one day ahead prediction; predicted interval; wind speed; Computational modeling; Data models; Electrical engineering; Predictive models; Wind farms; Wind forecasting; Wind speed; Least-square method; wind speed prediction;
Conference_Titel :
Power Engineering and Optimization Conference (PEOCO), 2010 4th International
Conference_Location :
Shah Alam
Print_ISBN :
978-1-4244-7127-0
DOI :
10.1109/PEOCO.2010.5559177