Authors:
Nazaraf Shah
1
;
Chen-Fang Tsai
2
;
Kuo-Ming Chao
1
and
Chi-Chun Lo
3
Affiliations:
1
Coventry University, United Kingdom
;
2
Aletheia University, Taiwan
;
3
Institute of Information Management, National Chiao-Tung University Hsin-Chu, Taiwan
Keyword(s):
Rule Based System, Ontology, Energy Management, Wireless Network, Energy Consumption Monitoring.
Related
Ontology
Subjects/Areas/Topics:
Ecological Monitoring, Analytics and Visualization
;
Energy and Economy
;
Green Computing Models, Methodologies and Paradigms
;
Load Balancing in Smart Grids
;
Smart Grids
;
Sustainable Computing and Communications
Abstract:
Recent years have seen extensive research in home energy management systems to address the issues of rising energy prices and global warming. The focus of these research efforts is to create a smart environment which integrates household energy consumption appliances and devices into a home area network. This home area network collects energy consumption data constantly in real time in order support data analysis, decision making and enable the householders to have a transparent view of their energy consumption. The ultimate goal is to use Information and Communication Technologies (ICT) to help householders to reduce their energy consumption while maintaining level of their comfort. The proposed recommender system is a subsystem of an integrated energy management system which involves innovative technologies to monitor and analyse energy consumption of households in real time and enables them to have more detailed picture of their energy consumption and also provide them advice on e
fficient energy usage. The recommender system is supported by the monitoring system which consists of a network of energy consumption monitoring sensors. These sensors read energy consumption of household appliances in real time and send the data to a central server for storage, analysis and query purposes. In this paper we present a recommender system which provides advice to householders proactively by taking in account their energy consumption patterns and also provides answers to their queries regarding efficient use of energy.
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