Photovoltaic power prediction method in combination with photovoltaic power physical model and data driving
The invention discloses a photovoltaic power prediction method in combination with a photovoltaic power physical model and data driving, belonging to the field of new energy prediction technology of power systems. The method comprises the following steps: determining key weather features that affect...
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Main Authors | , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
10.11.2017
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Subjects | |
Online Access | Get full text |
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Summary: | The invention discloses a photovoltaic power prediction method in combination with a photovoltaic power physical model and data driving, belonging to the field of new energy prediction technology of power systems. The method comprises the following steps: determining key weather features that affect the photovoltaic power by using a photovoltaic power physical model, and establishing key weather feature matrices of a historical period and a prediction period; and then separately establishing weather data matrices of the historical period and the prediction period to obtain input matrices of the historical period and the prediction period; performing feature extraction for the input matrices to obtain principal component feature matrices of the historical period and the prediction period; and selecting K historical periods with the nearest Manhattan distance from the principal component features of any prediction period, fitting to obtain a mapping relationship between the principal component features of the K |
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Bibliography: | Application Number: CN201710492720 |