Multi-agent Architecture of a MIBES for Smart Energy Management

Bosom, Jérémie; Scius-Bertrand, Anna; Tran, Hai Hong; Bui, Marc

doi:10.1007/978-3-319-93408-2_2

Cited by 2 publications

(1 citation statement)

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“…The MIBES resulted from the modeling of the set of actors interacting with the TCMPE and their relationship to each other. Its first draft was presented in 2018 [37]. Definition 7.…”

Section: Hybrid Approach Applied To Ttpempmentioning

confidence: 99%

DevOps Model Appproach for Monitoring Smart Energy Systems

et al. 2022

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Energy systems are often socio-technical complex systems that are facing new challenges regarding technological and environmental changes. Because of their complex nature, they cannot be approached solely through analytical modeling, hence the inefficiency of most classical modeling approaches. In this article, a Hybrid Approach based on both systemic and analytical modeling is presented and applied to a case study. From this novel approach, a model—the Multi-Institution Building Energy System—is presented. It allowed us to highlight and detail the need for greater governance of energy systems. The socio-technical solutions identified to answer the issues of governance (Accuracy, Reliability and Fairness) were DevOps methodology and the use of Distributed Microservices Architecture. Based on this framework, the design of a Decision Support System assuring and exploiting state-of-the-art scalable tools for data management and machine learning factories is described in this article. Moreover, we wish to set up the conceptual basis necessary for the design of a generic theoretical framework of optimization applicable to complex socio-technical systems in the context of the management of a shared resource.

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“…The MIBES resulted from the modeling of the set of actors interacting with the TCMPE and their relationship to each other. Its first draft was presented in 2018 [37]. Definition 7.…”

Section: Hybrid Approach Applied To Ttpempmentioning

confidence: 99%