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2015 | OriginalPaper | Chapter

Imitative Learning for Online Planning in Microgrids

Authors : Samy Aittahar, Vincent François-Lavet, Stefan Lodeweyckx, Damien Ernst, Raphael Fonteneau

Published in: Data Analytics for Renewable Energy Integration

Publisher: Springer International Publishing

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Abstract

This paper aims to design an algorithm dedicated to operational planning for microgrids in the challenging case where the scenarios of production and consumption are not known in advance. Using expert knowledge obtained from solving a family of linear programs, we build a learning set for training a decision-making agent. The empirical performances in terms of Levelized Energy Cost (LEC) of the obtained agent are compared to the expert performances obtained in the case where the scenarios are known in advance. Preliminary results are promising.

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Metadata
Title
Imitative Learning for Online Planning in Microgrids
Authors
Samy Aittahar
Vincent François-Lavet
Stefan Lodeweyckx
Damien Ernst
Raphael Fonteneau
Copyright Year
2015
DOI
https://doi.org/10.1007/978-3-319-27430-0_1

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