E3S Web Conf.
Volume 84, 201914th International Scientific Conference “Forecasting in Electric Power Engineering” (PE 2018)
|Number of page(s)||8|
|Section||Forecasting in Electric Power Engineering|
|Published online||11 February 2019|
Application of similarity analysis in PV sources generation forecasting for energy clusters
PSE Innovation Ltd, Al. Jerozolimskie 132, 02-305 Warsaw, Poland
* Corresponding author: firstname.lastname@example.org
The resultant photovoltaic installation powers significantly affect the process of cluster coordination in terms of balancing, which is associated with the need for the most accurate forecast of photovoltaic generation. This article describes the application of similarity analysis in order to use commonly available meteorological data for predicting generation level from photovoltaic sources on the example of several selected installations and their corresponding real production profiles.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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