SUPPORT MODEL FOR ELECTRICITY TRADE USING FUZZY LOGIC AND MACHINE LEARNING

被引：0

作者：

Moreno, Julian ^{[1
]}

Ovalle, Demetrio ^{[1
]}

机构：

[1] Univ Nacl Colombia, Escuela Sistemas, Fac Minas, Sede Medellin, Colombia

来源：

DYNA-COLOMBIA | 2009年 / 76卷 / 159期

关键词：

Wholesale Electricity Market; Fuzzy Logic; Machine Learning;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The work presented in this paper explores the posibility of using a model based on fuzzy logic and machine learning in order to maximize the profits of Colombian energy trade agents according to their risk profile. The model has two parts, the first one is a fuzzy expert system that gives to these agents a recommendation about the trade strategy they should follow, and whose definition depends mainly on market conditions. The second one is a reinforced learning mechanism with which the agents "learn" when they perceive the consequences of their actions, so they modify them looking for a reward not just in short but also in long term.

引用

页码：67 / 76

页数：10

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