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|Title:||Management of distributed energy resources using intelligent multi-agent system||Authors:||Logenthiran, T.
|Issue Date:||2010||Citation:||Logenthiran, T.,Srinivasan, D. (2010). Management of distributed energy resources using intelligent multi-agent system. Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization : 208-230. ScholarBank@NUS Repository. https://doi.org/10.4018/978-1-60566-898-7.ch012||Abstract:||The technology of intelligent Multi-Agent System (MAS) has radically altered the way in which complex, distributed, open systems are conceptualized. This chapter presents the application of multi-agent technology to design and deployment of a distributed, cross platform, secure multi-agent framework to model a restructured energy market, where multi players dynamically interact with each other to achieve mutually satisfying outcomes. Apart from the security implementations, some of the best practices in Artificial Intelligence (AI) techniques were employed in the agent oriented programming to deliver customized, powerful, intelligent, distributed application software which simulates the new restructured energy market. The AI algorithm implemented as a rule-based system yielded accurate market outcomes. © 2011, IGI Global.||Source Title:||Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization||URI:||http://scholarbank.nus.edu.sg/handle/10635/84413||ISBN:||9781605668987||DOI:||10.4018/978-1-60566-898-7.ch012|
|Appears in Collections:||Staff Publications|
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