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Digital Energy: Clustering Micro Grids for Social Networking

Digital Energy: Clustering Micro Grids for Social Networking
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Author(s): Mikhail Simonov (Politecnico di Milano, Italy and ISMB, Italy), Marco Mussetta (Politecnico di Milano and Politecnico di Torino, Italy) and Riccardo Zich (Politecnico di Milano, Italy)
Copyright: 2009
Volume: 1
Issue: 3
Pages: 19
Source title: International Journal of Virtual Communities and Social Networking (IJVCSN)
Editor(s)-in-Chief: Subhasish Dasgupta (George Washington University, USA) and Rohit Rampal (State University of New York at Plattsburgh, USA)
DOI: 10.4018/jvcsn.2009070106

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Abstract

Since energy use is a type of consumer behavior reflecting the interests to maximize some objective function, the human being activities seen in energy terms might be used to create the social aggregations or groups. Electric energy generated from ecologic sources brings some unpredictability. Authors model the unpredictability of the distributed generation in order to create a tool for minimization. Authors propose the novel method to build real life smart micro grids in the distributed generation context characterized by zero emissions. The proposed tool becomes an instrument to create the social aggregation of users and negotiate locally the “social” energy in real time, strengthening and mastering a virtual neighborhood of the local community.

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