CAJ | 학술논문

为了减少风电项目的盲目建设,提高建设投资决策的经济性,提出一种基于偏最小二乘回归的风电项目利润总量预测方法.利用偏最小二乘回归算法中的指标标准化处理和提取偏最小二乘成分,解决了实际利润预测分析中在计算数据的指标之间具有多重相关性、可以搜集到的准确的相关样本数据较少的条件下拟合利润预测回归模型时存在的问题.提出影响风电项目年利润总量的九个指标,在某地若干风电项目的实例数据的基础上,计算了实例数据的膨胀因子并进行特异点分析,利用偏最小二乘法建立了利润预测模型,探讨了其与传统的回归预测方法的差异.算例分析结果表明,该方法在预测项目年利润时预测精度较高,是一种有效可行的预测方法.
위료감소풍전항목적맹목건설,제고건설투자결책적경제성,제출일충기우편최소이승회귀적풍전항목리윤총량예측방법.이용편최소이승회귀산법중적지표표준화처리화제취편최소이승성분,해결료실제리윤예측분석중재계산수거적지표지간구유다중상관성、가이수집도적준학적상관양본수거교소적조건하의합리윤예측회귀모형시존재적문제.제출영향풍전항목년리윤총량적구개지표,재모지약간풍전항목적실례수거적기출상,계산료실례수거적팽창인자병진행특이점분석,이용편최소이승법건립료리윤예측모형,탐토료기여전통적회귀예측방법적차이.산례분석결과표명,해방법재예측항목년리윤시예측정도교고,시일충유효가행적예측방법.
In order to reduce blind wind power construction and to improve construction economy, a wind power project profit forecasting model based on PLS method is proposed. Data standardization method and PLS principal components are used to solve the issue of multiple correlations between data and the problem of inadequate of original sample data which would cause regression fitting problems in profit prediction. The principle of partial least squares regression analysis is firstly introduced, and nine indexes influencing the annual profit are proposed. Based on an actual data VIF calculation and sample outliers analysis are performed. A profit prediction model is built based on the PLS method. Finally, the difference between the PLS analysis method and normal regression methods is also discussed. The result proves the accuracy of the model and practicable utility of the method.