23. HYBRID CLOUD ARCHITECTURES FOR SCALABLE AI.pdf

The shift toward decentralized and digitized energy markets has led to the adoption of hybrid cloud architectures that combine private and public cloud resources for scalable, secure, and intelligent energy market transactions. Artificial intelligence (AI) plays a critical role in enabling predictive analytics, automated trading, and anomaly detection in energy exchanges. This paper examines the design and implementation of hybrid cloud architectures optimized for AI-driven energy market operations. It discusses deployment strategies, interoperability considerations, and integration with blockchain and edge computing. Two tables provide a comparative overview of hybrid cloud models and performance benchmarks from real-world implementations. The study concludes that hybrid cloud infrastructures enable flexible scaling, enhance data security, and support advanced AI analytics in energy trading systems, making them a foundational element of next-generation energy market infrastructure.