Secure Hybrid Intelligence Framework for Smart Energy Networks using AI and Blockchain

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Chinese explanation / 中文解读

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Original abstract

The rapid evolution of smart energy networks has introduced new opportunities for enhancing energy efficiency, grid reliability, and decentralized power management. Traditional centralized security mechanisms often struggle to address the dynamic and heterogeneous nature of modern smart grids. To overcome these challenges, this paper proposes a Secure Hybrid Intelligence Framework that combines the predictive and adaptive capabilities of Artificial Intelligence (AI) with the decentralized and tamper-resistant features of Blockchain technology. The proposed framework utilizes AI-driven analytics for real-time load forecasting, anomaly detection, demand-response optimization, and predictive maintenance, while blockchain-enabled smart contracts facilitate secure energy transactions, transparent data sharing, and decentralized access control. The integration of these technologies establishes a trustworthy and intelligent ecosystem capable of enhancing operational efficiency and resilience against cyber threats. Furthermore, the framework supports scalable energy management across distributed smart grid environments by enabling secure communication among prosumers, utility providers, and energy management systems. A conceptual architecture and workflow are presented to demonstrate the interaction between AI modules and blockchain layers within the energy network. The proposed approach aims to improve security, transparency, automation, and decision-making capabilities, thereby contributing to the development of next-generation smart energy infrastructures that are reliable, sustainable, and resilient.

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