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Agent-Based Simulation of Electric Energy Consumers: The NetLogo Tool
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Author(s): Fernanda Mota (Furg, Brazil), Iverton Santos (Furg, Brazil), Graçaliz Dimuro (Furg, Brazil), Vagner Rosa (Furg, Brazil)and Silvia Botelho (Furg, Brazil)
Copyright: 2014
Pages: 15
Source title:
Interdisciplinary Applications of Agent-Based Social Simulation and Modeling
Source Author(s)/Editor(s): Diana Francisca Adamatti (Universidade Federal do Rio Grande, Brasil), Graçaliz Pereira Dimuro (Universidade Federal do Rio Grande, Brasil)and Helder Coelho (Universidade de Lisboa, Portugal)
DOI: 10.4018/978-1-4666-5954-4.ch014
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Abstract
The electric energy consumption is one of the main indicators of both the economic development and the quality of life of a society. However, the electric energy consumption data of individual home use is hard to obtain due to several reasons, such as privacy issues. In this sense, the social simulation based on multiagent systems comes as a promising option to deal with this difficulty through the production of synthetic electric energy consumption data. In a multiagent system the intelligent global behavior can be achieved from the behavior of the individual agents and their interactions. This chapter proposes a tool for simulation of electric energy consumers, based on multiagent systems concepts using the NetLogo tool. The tool simulates the residential consumption during working days and presented as a result the synthetic data average monthly consumption of residences, which varies according to income. So, the analysis of the produced simulation results show that economic consumers of the income 1 in the summer season had the lowest consumption among all other consumers and consumers noneconomic income 6 in the winter season had the highest.
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