Rule Induction-Based Knowledge Discovery for Energy Efficiency

被引:9
作者
Chen, Qipeng [1 ]
Fan, Zhong [2 ]
Kaleshi, Dritan [3 ]
Armour, Simon [1 ]
机构
[1] Univ Bristol, Dept Elect & Elect Engn, Commun Syst & Networks Grp, Bristol BS8 1TH, Avon, England
[2] Toshiba Res Europe Ltd, Telecommun Res Lab, Bristol BS1 4ND, Avon, England
[3] Digital Catapult, London NW1 2RA, England
来源
IEEE ACCESS | 2015年 / 3卷
基金
英国工程与自然科学研究理事会;
关键词
Energy efficiency; knowledge discovery; smart grids; subgroup discovery; SUBGROUP DISCOVERY; METER DATA; HOUSEHOLDS;
D O I
10.1109/ACCESS.2015.2472355
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Rule induction is a practical approach to knowledge discovery. Provided that a problem is developed, rule induction is able to return the knowledge that addresses the goal of this problem as if-then rules. The primary goals of knowledge discovery are for prediction and description. The rule format knowledge representation is easily understandable so as to enable users to make decisions. This paper presents the potential of rule induction for energy efficiency. In particular, three rule induction techniques are applied to derive knowledge from a dataset of thousands of Irish electricity customers' time-series power consumption records, socio-demographic details, and other information, in order to address the following four problems: 1) discovering mathematically interesting knowledge that could be found useful; 2) estimating power consumption features for customers, so that personalized tariffs can be assigned; 3) targeting a subgroup of customers with high potential for peak demand shifting; and 4) identifying customer attitudes that dominate energy conservation.
引用
收藏
页码:1423 / 1436
页数:14
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