A Learning Probabilistic Boolean Network Model of a Smart Grid with Applications in System Maintenance

A Learning Probabilistic Boolean Network Model of a Smart Grid with Applications in System Maintenance

Probabilistic Boolean Networks can capture the dynamics of complex biological systems as well as other non-biological systems, such as manufacturing systems and smart grids. In this proof-of-concept manuscript, we propose a Probabilistic Boolean Network architecture with a learning process that sign...

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Bibliographic Details
Main Authors: Pedro Juan Rivera Torres, Chen Chen, Jaime Macías-Aguayo, Sara Rodríguez González, Javier Prieto Tejedor, Orestes Llanes Santiago, Carlos Gershenson García, Samir Kanaan Izquierdo
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Energies
Subjects:
fault detection and isolation
machine learning algorithms
probabilistic Boolean networks
probabilistic Boolean network modeling
smart grids
complex network modeling
Online Access:https://www.mdpi.com/1996-1073/17/24/6399
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