摘要
在大数据时代,企业综合能效的预测成为了企业可持续发展的重要课题。随着大数据技术的迅猛发展,企业可以利用大数据分析方法来挖掘和分析海量的数据,从而提高能源利用效率、降低能源消耗和环境污染。然而,由于企业综合能效受到多个因素的影响,如生产设备、工艺流程、能源供应等,其预测模型的建立和研究面临着挑战。因此,旨在研究大数据背景下的企业综合能效预测常见数学模型及应用,以期能为决策者在能源管理和优化方面提供参考和指导。
In the era of big data,the prediction of enterprise comprehensive energy efficiency has become an important issue for the sustainable development of enterprises.With the rapid development of big data technology,enterprises can use big data analysis methods to mine and analyze massive data,so as to improve energy efficiency,reduce energy consumption and environmental pollution.However,since the comprehensive energy efficiency of enterprises is affected by multiple factors,such as production equipment,process flow,energy supply,etc.,the establishment and research of its prediction model faces challenges.Therefore,we aim to study the common mathematical models and applications of enterprise comprehensive energy efficiency prediction in the context of big data,in order to provide reference and guidance for decision makers in energy management and optimization.
作者
刘新智
Liu Xinzhi(School of Big Data and Artificial Intelligence of Chizhou College,Chizhou Anhui 247000,China)
出处
《现代工业经济和信息化》
2024年第9期102-104,107,共4页
Modern Industrial Economy and Informationization
关键词
大数据技术
企业
能效预测
数学模型
big data technology
enterprise
energy efficiency prediction
mathematical models
