The POP Concept: A Novel Backup Power Design Strategy

Extreme weather events, growing energy demands, and socio-political conflicts are increasingly causing power blackouts across diverse regions. This paper presents the Power Outage Predictor (POP) framework, a unified system that integrates historical blackout data, real-time weather, and conflict identification The framework incorporates climate-zone mapping, Impact-Based Forecasting (IBF), and a Bayesian inference engine to classify blackout likelihood and severity across natural, manmade, and conflict-driven causes. Additionally, a Decision Support System (DSS) is embedded to provide climate-specific microgrid design recommendations based on risk level, including battery duration, autonomy days, and PV-wind suitability. POP is validated using live simulations for six global cities across varied climate zones-demonstrating its effectiveness in anticipating blackouts and guiding resilient energy planning.