Quantum-Resilient IoT Energy Metering on Blockchain: A Secure Framework of Real-Time Monitoring with Artificial Intelligence-Driven Analytics

Internet of Things (IoT), blockchain technology, and quantum computing convergence are offering more opportunities than ever before on how to implement secure and intelligent energy management systems. The current paper suggests a new Quantum-Resilient IoT Energy Metering Framework, a combination of smart meters powered by Arduino and post-quantum cryptography (PQC) and AI-assisted analytics to ensure the security of the real-time energy measurement process. The system uses an Arduino Uno microcontroller, ACS712 Hall-effect sensor, and ESP8266 Wi-Fi component to collect data and uses lattice-based cryptographical primitives (CRYSTALS-Kyber and CRYSTALS-Dilithium) to provide quantum-safe data communication to cloud platforms based on blockchains. Measurement accuracy (95--98 percent) with a latency of less than 0.3 seconds has been experimentally validated and the quantum-resilient architecture has higher throughput (1850 TPS) and strong anomaly detection (97.8 percent F1-score). Its integrated AI layer reduces energy consumption by 23 percent with the allocation of resources using reinforcement learning. The proposed framework has a cost of less than $50 per node, and it provides a scalable, secure, and future-proof implementation of residential and industrial energy monitoring of the quantum computing era.