Establishment and Analysis of Cost Reduction Performance Model of Factory based on Energy Saving and Low Carbon Level
To investigate the impact of factory energy-saving and low-carbon measures on cost reduction performance,six energy-saving and low-carbon measures were selected as primary indicators,and 18 secondary indicators were derived from them.The weights of each energy-saving and low-carbon measure were determined using the analytic hierarchy process(AHP).The weights obtained from AHP were placed in front of the elements of the cost reduction performance model constructed using mathematical analysis and a long short-term memory(LSTM)neural network,successfully establishing the cost reduction performance index model.It was proposed that the optimal cost reduction performance index and corresponding measure plan could be obtained using a genetic algorithm.The study found that the cost reduction performance model based on energy-saving and low-carbon levels in factories established in this study can be used to evaluate the cost reduction performance level of factory energy-saving and low-carbon measures in the subsequent period.Energy efficiency improvement,waste resource utilization,and the cost reduction performance model using renewable energy can be established using mathematical formulas.The cost reduction performance models for employee education strengthening,source low-carbon technology,and intelligent energy management systems need to be established using LSTM.The analysis using LSTM shows good fitting results,with the RMSE error analysis index approaching zero,indicating that the model has high accuracy.The optimal cost reduction performance obtained using the genetic algorithm was found to stabilize after only 50 generations,which also indirectly confirms the accuracy of the model.The method constructs a model of the relationship between energy-saving and low-carbon measures and cost reduction performance,which has certain practical value and scientific value.
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