Autor: |
Gianpiero Cabodi, Roberto Tadei, Paolo Camurati, Daniele Manerba, Edoardo Fadda |
Rok vydání: |
2020 |
Předmět: |
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Zdroj: |
Recent Advances in Computational Optimization ISBN: 9783030588830 |
DOI: |
10.1007/978-3-030-58884-7_4 |
Popis: |
Electric vehicles are accelerating the world transition to sustainable energy. Nevertheless, the lack of a proper charging station infrastructure in many real implementations still represents an obstacle for the spread of such a technology. In this paper, we present a real-case application of optimization techniques in order to solve the location problem of electric charging stations in the district of Biella, Italy. The plan is composed by several progressive installations and the decision makers pursue several objectives that might conflict each other. For this reason, we present an innovative framework based on the comparison of several ad-hoc Key Performance Indicators (KPIs) for evaluating many different location aspects. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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