Short and Mid-Term Wind Power Plants Forecasting With ANN

	Short and Mid-Term Wind Power Plants Forecasting With ANN
Iranian Journal of Power Engineering
مقاله 5، دوره 1، شماره 1 - شماره پیاپی 2016، خرداد 2016، صفحه 29-32 اصل مقاله (375.07 K)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22077/ijpe.2016.508
نویسندگان
Javad Mahmoudi¹؛ Majid Jamil^* ²؛ Hossein Balaghi³
¹Sharif University, Tehran, Iran
²Material and Energy Research Center (MERC), Karaj, Iran
³Department of Mechanical Engineering of Sharif University , Tehran, Iran
چکیده
In recent years, wind energy has a remarkable growth in the world, but one of the important problems of power generated from wind is its uncertainty and corresponding power. For solving this problem, some approaches have been presented. Recently, the Artificial Neural Networks (ANN) as a heuristic method has more applications for this propose. In this paper, short-term (1 hour) and mid-term (24 hours) power forecasting are presented for a sample wind power plant by multilayer ANN. The needed inputs data are temperature and wind speed for forecasting the power. A case study has presented.
کلیدواژه‌ها
Wind power forecasting؛ Artificial neural network؛ Power prediction

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