Online Knowledge Based Wind Assessment Tool

被引:0
|
作者
Octavian, Capatina [1 ]
Ioan, Letia [2 ]
机构
[1] IPA Cluj Napoca Subsidiary, Senior Res Renewable Dept, Cluj Napoca, Romania
[2] UTCN, Knowledge & AI Dept, Comp & Automat Fac, Cluj Napoca, Romania
关键词
Knowledge; AI; wind assessment;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The main problems of current site prospecting techniques as they occur in real scenarios is referring the disadvantages of the mesoscale mathematical model, based on which the wind assessment uncertainties are appreciated around 30%, just by the wind analyst [1]. Once we propose to change the running mathematical models for wind potential estimation with a hybrid method based on expert rules and objective facts provided by the interested users as direct observations. For the renewable energy domain this concept is relatively new in academic literature and not used in applicative research yet. The rules are extracted from experts and good practices reports, whilst the inference engine is fed with human observations regarding temperature, altitude, pressure, obstacles, distances, position, asymmetry degree of the vegetation, etc. Part of them will be pre-processed with metric relations for checking them against the rules premises. Secondly the knowledge based system will run online, being accessible by the interested users all over the world.
引用
收藏
页码:352 / +
页数:2
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