A Real-Time Forecast-Enhanced Centralized Approach for Monitoring and Optimizing Distributed Solar Homes

This paper introduces a centralized framework for coordinating distributed solar homes to increase PV utilization, anticipate generation fluctuations, and help monitoring infrastructure and support planning. This proposed system aims to address operational challenges faced by real-time weather variability and performance degradation by integrating satellitederived cloud movement and irradiance information within a centralized management architecture. The approach can enable adaptive load adjustments to mitigate PV output dips and provides forecasts to operators with advance commitment notifications to improve stability. Furthermore, it demonstrates continuous analytical assessment of photovoltaic soiling and module degradation through observed performance. Simulations using location-specific data for Dhaka show that this centralized, weather-adaptive approach can enhance PV utilization in homes, improve grid communication through pre-forecasting, and enable proactive maintenance planning, hence becoming a valuable regional database for future deployments. This research provides a scalable analytical construct for a path to intelligent solar home management, supporting both operational efficiency and longterm asset sustainability across distributed solar energy networks.