使用灰色预测模型预测道路燃料燃烧产生的CO2排放量:一种新的方法
Flavian Emmanuel Sapnken1,2,3, Hermann Chopkap Noume4, Jean Gaston Tamba1,2,3
1Laboratory of Technologies and Applied Science, IUT Douala, P.O. Box 8698, Douala, Cameroon.
本研究引入了一种优化的灰色多变量模型 (OWTHGM(1,N)) 以准确预测二氧化碳排放. 改进后的模型提高了预测的准确性和稳定性,为环境政策和能源战略提供了可靠的工具.
科学领域:
- 环境科学 环境科学
- 数学建模的数学建模
- 预测 预测 预测 预测
背景情况:
- 传统的灰色多变量模型 (GM(1,N)) 在预测准确性和稳定性方面存在局限性.
- 准确预测二氧化碳排放对于环境政策和能源管理至关重要.
研究的目的:
- 提出和验证一个优化的波形变换豪斯多夫多变量灰色模型 (OWTHGM(1,N)).
- 提高用于预测二氧化碳排放的灰色多变量模型的预测准确度和稳定性.
主要方法:
- 集成波形变换用于输入过.
- 使用豪斯多夫导数开发一个新的时间响应函数.
- 使用Rao算法优化模型参数和累积值.
主要成果:
- 对于CO2排放预测,OWTHGM(1,N) 模型实现了1.27%的平均绝对百分比误差 (MAPE) 和79.983的根平均平方误差 (RMSE).
- 与现有的预测模型相比,证明了更高的准确性.
- 成功应用于预测道路燃料燃烧产生的二氧化碳排放.
结论:
- OWTHGM(1,N) 模型比传统的灰色模型提供了显著的改进.
- 它是监测二氧化碳排放和为能源和环境政策提供信息的可靠工具.
- 该模型的通用性允许在各种能源部门应用.
更多相关视频
09:34Implementation of Portable Emissions Measurement Systems PEMS for the Real-driving Emissions RDE Regulation in Europe
Published on: December 4, 2016
07:24Combustion Chemistry of Fuels: Quantitative Speciation Data Obtained from an Atmospheric High-temperature Flow Reactor with Coupled Molecular-beam Mass Spectrometer
Published on: February 19, 2018
相关概念视频
Regression Analysis
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
Predicting Reaction Outcomes
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
Turnover Number and Catalytic Efficiency
Chymotrypsin is a pancreatic enzyme that breaks down proteins during digestion....
Clausius-Clapeyron Equation
