文章基本信息

标题：The quality of data and the accuracy of energy generation forecast by artificial neural networks
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作者：Bogdan Kwiatkowski ; Jacek Bartman ; Damian Mazur 等
期刊名称：International Journal of Electrical and Computer Engineering
电子版ISSN：2088-8708
出版年度：2020
卷号：10
期号：4
页码：3957-3966
DOI：10.11591/ijece.v10i4.pp3957-3966
出版社：Institute of Advanced Engineering and Science (IAES)
摘要：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.
关键词：forecasting;wind energy generation;artificial neural networks;wind farm;prediction