Forecasting installation capacity of hydro-power plants Based on Partial Least-square Regression Method

摘要

Because there are some multiple and complex factors for forecasting installation capacity of hydropower, the traditional multivariate regression methods cannot get satisfactory results with the sample data scarcity. This paper takes full advantages of Partial Least-square Regression (PLSR) model with lower error and higher accuracy to build the forecasting model of installation capacity of hydropower. The example shows that PLSR model is a valid method, and can be considered to apply into other domains.