Intelligent Energy Load Forecasting Analysis And Software Platform System Development In The Park

As one of the forms of energy Internet,the intelligent energy system plays a huge role in the utilization and management of the integrated energy system in the park.In the context of the rapid development of energy Internet,the construction of information and digital intelligent energy system is conducive to reducing energy use and energy management costs,reducing pollution gas emissions and improving energy use efficiency.This paper studies the park wisdom energy comprehensive utilization system of multiple load forecast,optimization scheduling method and energy management platform are studied,this paper proposes a park wisdom energy system of multiple load forecasting method,constructs the optimization calculation model,and design and develop the wisdom energy comprehensive utilization management system software platform for optimization calculation.The main research contents are as follows:(1)For the problem that ARIMA was only able to deal with linear relationships,it was used to modify ARIMA Model to a long-short Term Memory network.The ARIMALSTM model,which is suitable for the load prediction of intelligent energy system in the park,is proposed and established.The research results show that this model can better adapt to the characteristics of load series,and can improve the prediction accuracy compared with the traditional ARIMA time series prediction model.(2)The optimization calculation module of intelligent energy system platform in the park is constructed.The design requirements for optimizing the input and output of the computing module are analyzed,and the construction of objective function and constraint conditions under the programming algorithm is studied.Based on an actual engineering case,the applicability of module construction is explained,and the rationality of the optimization model is verified.(3)A smart energy comprehensive utilization platform has been established in the park.The system platform integrates the multivariate load prediction model and optimization algorithm proposed in this paper.The platform has database,equipment library and model library,which can realize multiple functions of comprehensive energy utilization management,such as multivariate load prediction,equipment output optimization,energy consumption analysis and so on.Combined with the actual project cases,the function of the energy management system is demonstrated and analyzed,and the information management of energy is realized.