Towards a Bio-Temporal Dynamic Model for Managing Power Grid Collapse in Libya
DOI:
https://doi.org/10.36602/Keywords:
Power grid collapse, Load management, Time geography, Smart gridsAbstract
Libya faces a chronic electricity crisis that has transcended a mere technical failure to become a comprehensive state crisis. This is manifested in repeated cascading grid collapses and widespread blackouts, with interconnected repercussions for the water, health, telecommunications, and security sectors. This paper presents an innovative technical load-management model based on integrating three interconnected dimensions: the engineering dimension (grid infrastructure), the temporal dimension (time-geography of consumption), and the biological dimension (climatic and environmental impacts). The model relies on deploying smart grid technologies, smart meters, and deep learning algorithms (CNN-LSTM) for ultra-accurate load forecasting, alongside establishing a supervisory control and data acquisition / energy management system (SCADA/EMS) capable of making proactive decisions to isolate areas and dynamically distribute loads. The study aims to shift from a "reactive" logic toward "proactiveness," transforming the electricity crisis from a vicious cycle of collapses into a resilient and adaptive artificial ecosystem
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Copyright (c) 2026 Elfeturi Mohamed Madi (Author)
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