首页|Studies from Indian Institute of Information Technology Describe New Findings in Machine Learning (Network Analysis In a Peer-topeer Energy Trading Model Using Blockchain and Machine Learning)
Studies from Indian Institute of Information Technology Describe New Findings in Machine Learning (Network Analysis In a Peer-topeer Energy Trading Model Using Blockchain and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators publish new report on Machine Learn ing. According to news reporting originating in Lucknow, India, by NewsRx journa lists, research stated, "Existing technology like smart grid (SG) and smart mete rs play a significant role in meeting the everlasting demand of energy consumpti on, supply, and generation for peer-to-peer (P2P) energy trading between differe nt distributed prosumers. Whereas blockchain when used with P2P energy trading p lays a major role in cost and security by eliminating any involvement of outside rs and third parties." Financial support for this research came from Deanship of Scientific Research at Najran University. The news reporters obtained a quote from the research from the Indian Institute of Information Technology, "However, existing works related to the blockchain wi th P2P energy trading are engaged in increasing the cost related to resource all ocation, latency, computational processing, and large network setup. The objecti ve of this paper is to design and develop a three-tier architecture, an analytic al model, and a hybrid algorithm for network analysis in a blockchain-based P2P energy trading system using reinforcement learning (RL) and feed forward neural network (FFNN) techniques. In this model, we will examine the various parameters and tradeoffs which affect the delay, throughput, and security in P2P energy tr ading. This will lead to profitable P2P energy trading between different distrib uted prosumers. By analyzing the simulation results of the proposed model and al gorithm by benchmarking with the existing state-of-the-art techniques it's clear that the proposed algorithm shows marked improvement over network latency gener ated results."
LucknowIndiaAsiaAlgorithmsCybers ecurityCyborgsEmerging TechnologiesMachine LearningIndian Institute of I nformation Technology
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