Engineering Applications of Artificial Intelligence, cilt.179, 2026 (SCI-Expanded, Scopus)
This study focuses on integrating blockchain, the Internet of Things, and artificial intelligence to address environmental challenges and promote sustainable development. The findings illustrate that this integration has the potential to revolutionize sustainable development and enhance environmental conditions. Blockchain technology plays a crucial role in enabling decentralized data storage and management. With the growing concern over energy demand and environmental pollution, there has been an increasing emphasis on renewable energy and distributed generation. This paradigm shift allows consumers to also serve as energy producers in the new power network structure. However, due to the greater number of producers/consumers in this structure compared to traditional power grids, there is a pressing need for a secure, transparent, fast, and scalable platform for energy exchange. Blockchain technology offers the unique characteristics required to fulfill this need. In line with addressing environmental challenges through AI and IoT, the primary aim of this study is to develop and implement a pilot blockchain-based platform for peer-to-peer energy exchange, tailored to the country's power network conditions. The platform's overall architecture is designed using the Minimum Viable Product concept, incorporating both functional and non-functional requirements, and is represented using Unified Modeling Language diagrams. The proposed pilot platform consists of four key components: smart contracts, user interface, blockchain platform, and blockchain and non-blockchain databases. It undergoes thorough evaluation and testing using various scenarios, including unit testing and integration testing, which have been successfully conducted on the platform.