Analysis of Intelligent Power Grid Based on Internet of Things

The rapid development of the Internet of Things (IoT) has driven innovation in the power sector, and traditional power grids face challenges like energy waste and low reliability.This paper explores IoTbased intelligent power grids, analyzing their theoretical basis, including global power grid development differences and IoT's concept, evolution, and core characteristics, and key applications: intelligent operation via AI for load forecasting, fault diagnosis, etc., with cases like ENEL's Long Short-Term Memory (LSTM) system, adjustable regulation, and measurable monitoring.It also addresses challenges such as protocol fragmentation.In conclusion, IoT-integrated smart grids are crucial for modern energy systems.They are the fundamental for a sustainable, efficient, and resilient global energy future.Against the backdrop of global energy transition-with rising renewable energy penetrationtraditional grids' limitations (poor real-time monitoring, supply-demand imbalance, high maintenance costs) become prominent.IoT, with comprehensive perception, reliable transmission, and intelligent processing, connects equipment into a unified network, enabling fulllife-cycle energy management.Typical cases verify IoT's role in improving efficiency and reducing emissions, while noting that resolving protocol fragmentation and regional differences is key to advancing its large-scale application, supporting global carbon neutrality goals.