Prosumer consortium in a local group can be one of the solutions for energy costs, increasing performance and supplying university with improved electrification with distributed power generations. This research study demonstrates the simulation of blockchain based power trading with the supplement of solar power prediction with MLFF neural network training in two prosumer nodes. It can be the forefront to implement a market model with distributed generations based decentralized blockchain

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... in a university grid system which can balance the electricity demand and supply within the institute market, secure and rapid transaction, moreover, the local market system can be reinforced by forecasting solar generation. The performance of the MLFF training to predict the Because of it, prosumer bodies can do decision making before trading as for their benefit.