Palavras-chave
resilience; social science; power systems; social computing; cyber-physical-social system; data science; social media; natural language processing
Como Citar
Jaber Valinejad, Lamine Mili, C. Natalie van der Wal, & Yijun Xu. (2023). Socio-Technical Power System Resilience. Jornal Global De Ciência Da Computação E Tecnologia, 23(E2), 13–24. Obtido de https://gjcst.com/index.php/gjcst/article/view/12
Resumo
Abstract Power systems serve social communities that consist of residential commercial and industrial customers The social behavior and degree of collaboration of all stakeholders such as consumers prosumers and utilities affect the level of pre- paredness mitigation recovery adaptability and thus power system resilience Nonetheless the literature pays scant attention to stakeholders social characteristics and collaborative efforts when confronted with a disaster and views the problem solely as a cyber-physical system However power system resilience which is not a standalone discipline is inherently a cyber-physical- social problem making it complex to address To this end in this paper we develop a socio-technical power system resilience model based on neuroscience social science and psychological theories and using the threshold model to simulate the behavior of power system stakeholders during a disaster
Este trabalho encontra-se publicado com a Licença Internacional Creative Commons Atribuição 4.0.
Direitos de Autor (c) 2023 Authors and Global Journals Private Limited