Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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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 preparedness, 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.
Jaber Valinejad. 2026. \u201cSocio-Technical Power System Resilience\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 23 (GJCST Volume 23 Issue E2): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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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 preparedness, 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.
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