Title
A smart energy distribution and management system for renewable energy distribution and context-aware services based on user patterns and load forecasting
Abstract
Emerging green IT and smart grid technologies have changed electric power infrastructure more efficiently. These technologies enable a power system operator and a consumer to improve energy efficiency and reduce greenhouse gas emissions by optimizing energy distribution and management. There are many studies of these topics with the trend of green IT and smart grid technology. However, existing systems are still not effectively implemented in home and building because of their architectural limitations. Therefore, in this paper, we propose a smart energy distribution and management system (SEDMS) that operates through interaction between a smart energy distribution system and a smart monitoring and control system. Proposed system monitors information about power consumption, a user¿s situation and surroundings as well as controls appliances using dynamic patterns. Because SEDMS is connected with the existing power grid and with the newrenewable energy system, we consider integration of new renewable energy system through electric power control. We implemented proposed system in test-bed and carry out some experiments. The results show that a reduction of the service response time and the power consumption are approximately 45.6% and 9-17% respectively.
Year
DOI
Venue
2011
10.1109/TCE.2011.5955177
IEEE Trans. Consumer Electronics
Keywords
Field
DocType
architectural limitations,power control,power consumption,electric power infrastructure,energy distribution system,air pollution control,renewable energy sources,greenhouse gas emission reduction,smart grid technologies,energy management system,ubiquitous computing,energy management systems,energy distribution optimization,load forecasting,smart grid,power grids,context-aware services,electric power control,new-renewable energy,distribution networks,smart energy distribution and management system,sedms,renewable energy distribution,smart grids,renewable energy,management system,greenhouse gas emissions,electric power,renewable energy resource,energy efficient,renewable energy resources,test bed
Electric power,Renewable energy,Green computing,Smart grid,Efficient energy use,Computer science,Power control,Real-time computing,Energy management system,Intermittent energy source
Journal
Volume
Issue
ISSN
57
2
0098-3063
Citations 
PageRank 
References 
21
1.85
6
Authors
4
Name
Order
Citations
PageRank
Jinsung Byun114513.38
Insung Hong2687.62
Byeongkwan Kang3427.62
Sehyun Park426936.03