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Prediction of Boiler Combustion Energy Efficiency via Deep Reinforcement Learning

Aiming at the problem of energy efficiency prediction during boiler combustion, a prediction method is proposed. The boiler coal feed speed, steam value, feed water speed and power output are used as state variables, and the fuel utilization and rate of boiler combustion are used as the reward function to perform deep reinforcement learning algorithms. The experimental results show that the boiler combustion energy efficiency prediction system based on deep reinforcement learning proposed in this paper is effective and accurate, and performs well in the prediction process.