Exploring Robust and Explainable Artificial Intelligent Models

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LEMMAS: a secured and trusted Local Energy Market simulation system

Publication . Andrade, Rui; Vitorino, João; Wannous, Sinan; Maia, Eva; Praça, Isabel

The ever changing nature of the energy grid and the addition of novel systems such as the Local Energy Market (LEM) drastically increase its complexity, thus making the management harder and with increased importance at local level. Providing innovative and advanced management solutions is fundamental for the success of this new distributed energy grid paradigm. In this paper we extend Multi-Agent System (MAS) based simulation tool for LEMs called LEMMAS. A cyberattack detection model is developed and integrated in LEMMAS with the objective of preventing cyber-attacks from affecting the negotiations. This model is compared with the previous version which only analysed the trustworthiness of participants. The results show that the cyber-attack detection model drastically increases the security capabilities of LEMMAS.

2022Documento de conferência

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Fundação para a Ciência e a Tecnologia

Número da atribuição

2021.07629.BD