A Decision Support Tool for Energy Storage Optimization

被引：2
|
作者：
Holland, Alan [1 ]
机构：
[1] Natl Univ Ireland Univ Coll Cork, Dept Comp Sci, Cork Constraint Computat Ctr, Cork, Ireland
来源：
20TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, VOL 2, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ICTAI.2008.66
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We examine the problem faced by owners of gas storage contracts of how to manage the injection/withdrawal schedule of natural gas, given historical price behavior and a predictive model of future prices. We describe a hybrid price prediction model that combines a support vector machine technique with a stochastic model for short and long-term gas prices, respectively. We present a theoretical result regarding the complexity of the scheduling problem and propose a formulation for an integer program given capacity, injectability and deliverability constraints, We also outline how this was incorporated in a decision support tool that is used by energy traders at a gas utility company.
引用
收藏
页码：299 / 306
页数：8
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