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大数据背景下的企业综合能效预测数学模型研究

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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.
Research on Mathematical Model of Comprehensive Energy Efficiency Prediction for Enterprises in the Context of Big Data
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.

big data technologyenterpriseenergy efficiency predictionmathematical models

刘新智

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池州学院大数据与人工智能学院,安徽 池州 247000

大数据技术 企业 能效预测 数学模型

2024

现代工业经济和信息化

现代工业经济和信息化

影响因子:0.485
ISSN:
年,卷(期):2024.14(9)