文章基本信息

标题：COMPARATIVE ANALYSIS OF LSTM, RF AND SVM ARCHITECTURES FOR PREDICTING WIND NATURE FOR SMART CITY PLANNING
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作者：S. Harbola ; V. Coors
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2019
卷号：IV-4/W9
页码：65-70
出版社：Copernicus Publications
关键词：Cities planning; machine learning; meteorological data; energy conversion; wind prediction