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Agent Environments for Multi-agent Systems – A Research Roadmap Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Environment Modelling for Spatial Load Forecasting

Authors : Ander Pijoan, Oihane Kamara-Esteban, Cruz E. Borges

Published in: Agent Environments for Multi-Agent Systems IV

Publisher: Springer International Publishing

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Abstract

We present here an autonomous agent-based system tightly coupled with Geographic Information Systems (GIS). Our objective is to model a city’s dynamic in order to foresee both its urban evolution and the influence that the appearance of new settlements has on the overall electricity demand. This environment is deployed on a GIS-based Multi-Agent System platform where the geographical and communication components have been abstracted from the agent system onto the environment. The configuration model uses geographical information in order to improve the agents’ connection and perception of their surroundings. Based on the agent’s choices, we forecast urban evolution and derive the expected increment in electric consumption. We have validated our approach with real data and discuss here our conclusions.

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previous chapter Towards a ‘Smart’ Collaborative Virtual Environment and Multi-agent Approach to Designing an Intelligent Virtual Agent
next chapter Towards Organizational Interoperability Through the Environment
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Metadata
Title
Environment Modelling for Spatial Load Forecasting
Authors
Ander Pijoan
Oihane Kamara-Esteban
Cruz E. Borges
Copyright Year
2015
Book
Agent Environments for Multi-Agent Systems IV

Print ISBN: 978-3-319-23849-4

Electronic ISBN: 978-3-319-23850-0

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-23850-0_12

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