AI-Powered GNSS-Based IoT Networks for Smart Grid Energy Optimization

Smart grids that leverage advanced technology like IoT, AI, and clean power, have transformed the flow and management of energy. However, aside from connection, accurate, real-time intelligence is essential for achieving ultimate efficiency. This research proposes a GNSS-based IoT system with AI features for smart grid energy optimization. The envisioned system integrates real-time GNSS location, IoT sensor networks, and AI-driven energy forecasting to enhance the efficiency and reliability of power management. New advancements include a spatiotemporal AI model for energy forecasting, real-time decision-making via edge computing, and methods for GNSS robustness. Simulation results indicate tremendous improvements in energy consumption, predictive maintenance, and dynamic load balancing, paving the way for a smarter and more resilient energy system.