In:
International Journal of Electrical and Computer Engineering (IJECE), Institute of Advanced Engineering and Science, Vol. 10, No. 4 ( 2020-08-01), p. 3957-
Abstract:
The paper presents the issues related to predicting the amount of energy generation, in a particular wind power plant comprising five generators located in south-eastern Poland. The location of wind power plant, the distribution and type of applied generators, and topographical conditions were given and the correlation between selected weather parameters and the volume of energy generation was discussed. The primary objective of the paper was to select learning data and perform forecasts using artificial neural networks. For comparison, conservative forecasts were also presented. Forecasts results obtained shaw that Artificial Neural Networks are more universal than conservative method. However their forecast accuracy of forecasts strongly depends on the selection of explanatory data
Type of Medium:
Online Resource
ISSN:
2722-2578
,
2088-8708
DOI:
10.11591/ijece.v10i4
DOI:
10.11591/ijece.v10i4.pp3957-3966
Language:
Unknown
Publisher:
Institute of Advanced Engineering and Science
Publication Date:
2020
detail.hit.zdb_id:
2667127-X
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