A Review of Modern Wind Power Generation Forecasting Technologies

نویسندگان

چکیده

The prediction of wind power output is part the basic work grid dispatching and energy distribution. At present, mainly obtained by fitting regressing historical data. medium- long-term results exhibit large deviations due to uncertainty generation. In order meet demand for accessing large-scale into electricity further improve accuracy short-term prediction, it necessary develop models accurate precise based on advanced algorithms studying a generation system. This paper summarizes contribution current forecasting technology delineates key advantages disadvantages various models. These have different capabilities, update weights each model in real time, comprehensive capability model, good application prospects forecasting. Furthermore, case studies examples literature accurately predicting ultra-short-term with randomness are reviewed analyzed. Finally, we present future that can serve as useful directions other researchers planning conduct similar experiments investigations.

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ژورنال

عنوان ژورنال: Sustainability

سال: 2023

ISSN: ['2071-1050']

DOI: https://doi.org/10.3390/su151410757