Blockchain and Multiple Linear Regression-based Energy Trading Scheme for Electric Vehicles

This paper proposes a blockchain-based secure energy trading platform for electric vehicles (EVs) in a smart grid platform. EVs can be either prosumer (generates and consumes energy) or consumer. The proposed system mainly focuses on securing the energy demand data of EVs. It employs sixth-generation (6G) as a communication network that ensures ultra-low latency, high reliability, and scalable communication. We employed a multiple linear regression (MLR) model to analyze the energy demand data and predict EV energy consumption. Smart grid optimizes the energy for EVs that maximizes the profit for both prosumer and consumer EVs. The performance analysis of the proposed system with the 6G is evaluated by comparing it with the traditional 5G and 4G networks. Various performance metrics that have been considered for assessing the proposed scheme are latency, scalability, and profit for EVs. The performance results and analysis show that the proposed system is reliable, secure, and cost-efficient for both EVs compared to traditional energy trading systems.