【摘要】 针对企业能源管理系统(EMS)开发过程中的问题,提出了一种基于BP神经网络的预测技术,并运用BP神经网络算法对某钢铁企业能源管理系统能源消费量进行建模与分析。将MATLAB算法工具箱和编译技术开发组件嵌入到系统中实现实时在线计算。结果显示算法达到了很好的预测效果。可以让企业能源管理者预先掌握企业能耗动态趋势,指导企业生产和调度,保障企业能源供需平衡。更多还原

【Abstract】 A forecasting technology based on BP neural network was suggested in this paper for the problem during developing the enterprise energy management system.And the BP neural network algorithm was used to model and analyze the energy management system of one steel enterprise.At the last,the real-time calculation was realized by making MATLAB toolboxes and the compiler technology embed to the system.The results show that a good effect was achieved by using the algorithm,and making use of the method can help the enterprise managers to master the energy consumption trend in advance,to direct the enterprise production and scheduling,and to ensure the balance of supply and demand.更多还原