Intelligent Decision-Making System with Green Pervasive Computing for Renewable Energy Business in Electricity Markets on Smart Grid

Intelligent Decision-Making System with Green Pervasive Computing for Renewable Energy Business in Electricity Markets on Smart Grid

<p/> <p>This paper is about the intelligent decision-making system for the smart grid based electricity market which requires distributed decision making on the competitive environments composed of many players and components. It is very important to consider the renewable energy and emi...

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Main Authors: Park JongHyuk, Yeo Sang-Soo, Kang Dong-Joo
Format: Article
Language:English
Published: SpringerOpen 2009-01-01
Series:EURASIP Journal on Wireless Communications and Networking
Online Access:http://jwcn.eurasipjournals.com/content/2009/247483
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spelling doaj-3083f491b4624281a3970b648b85055b2020-11-25T00:33:28ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992009-01-0120091247483Intelligent Decision-Making System with Green Pervasive Computing for Renewable Energy Business in Electricity Markets on Smart GridPark JongHyukYeo Sang-SooKang Dong-Joo<p/> <p>This paper is about the intelligent decision-making system for the smart grid based electricity market which requires distributed decision making on the competitive environments composed of many players and components. It is very important to consider the renewable energy and emission problem which are expected to be monitored by wireless communication networks. It is very difficult to predict renewable energy outputs and emission prices over time horizon, so it could be helpful to catch up those data on real time basis using many different kinds of communication infrastructures. On this backgrounds this paper provides an algorithm to make an optimal decision considering above factors.</p>http://jwcn.eurasipjournals.com/content/2009/247483
collection DOAJ
language English
format Article
sources DOAJ
author Park JongHyuk
Yeo Sang-Soo
Kang Dong-Joo
spellingShingle Park JongHyuk
Yeo Sang-Soo
Kang Dong-Joo
Intelligent Decision-Making System with Green Pervasive Computing for Renewable Energy Business in Electricity Markets on Smart Grid
EURASIP Journal on Wireless Communications and Networking
author_facet Park JongHyuk
Yeo Sang-Soo
Kang Dong-Joo
author_sort Park JongHyuk
title Intelligent Decision-Making System with Green Pervasive Computing for Renewable Energy Business in Electricity Markets on Smart Grid
title_short Intelligent Decision-Making System with Green Pervasive Computing for Renewable Energy Business in Electricity Markets on Smart Grid
title_full Intelligent Decision-Making System with Green Pervasive Computing for Renewable Energy Business in Electricity Markets on Smart Grid
title_fullStr Intelligent Decision-Making System with Green Pervasive Computing for Renewable Energy Business in Electricity Markets on Smart Grid
title_full_unstemmed Intelligent Decision-Making System with Green Pervasive Computing for Renewable Energy Business in Electricity Markets on Smart Grid
title_sort intelligent decision-making system with green pervasive computing for renewable energy business in electricity markets on smart grid
publisher SpringerOpen
series EURASIP Journal on Wireless Communications and Networking
issn 1687-1472
1687-1499
publishDate 2009-01-01
description <p/> <p>This paper is about the intelligent decision-making system for the smart grid based electricity market which requires distributed decision making on the competitive environments composed of many players and components. It is very important to consider the renewable energy and emission problem which are expected to be monitored by wireless communication networks. It is very difficult to predict renewable energy outputs and emission prices over time horizon, so it could be helpful to catch up those data on real time basis using many different kinds of communication infrastructures. On this backgrounds this paper provides an algorithm to make an optimal decision considering above factors.</p>
url http://jwcn.eurasipjournals.com/content/2009/247483
work_keys_str_mv AT parkjonghyuk intelligentdecisionmakingsystemwithgreenpervasivecomputingforrenewableenergybusinessinelectricitymarketsonsmartgrid
AT yeosangsoo intelligentdecisionmakingsystemwithgreenpervasivecomputingforrenewableenergybusinessinelectricitymarketsonsmartgrid
AT kangdongjoo intelligentdecisionmakingsystemwithgreenpervasivecomputingforrenewableenergybusinessinelectricitymarketsonsmartgrid
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