Data-driven applications for wind energy analysis and prediction: The case of “La Haute Borne” wind farm

Data-driven applications for wind energy analysis and prediction: The case of “La Haute Borne” wind farm

The current paper investigates several methods of predicting wind energy generation for the onshore “La Haute Borne” wind farm. The hybrid model has been developed to get short-term power forecasts using both historical in-situ measurements available from ENGIE and Modern-Era Retrospective Analysis...

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Bibliographic Details
Main Authors:	Radmila Mandzhieva, Rimma Subhankulova
Format:	Article
Language:	English
Published:	Elsevier 2022-09-01
Series:	Digital Chemical Engineering
Subjects:	Onshore wind farm Meteorology Short-term forecasts Deep learning LSTM CNN-LSTM
Online Access:	http://www.sciencedirect.com/science/article/pii/S2772508122000382

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