Research on photovoltaic power generation based on multi-dimensional indicators and models
Yile Wang
IntroductionPhotovoltaic (PV) power generation is vital for sustainable energy and carbon reduction, yet existing studies often focus on single aspects, lacking integrated planning support.MethodsThis study develops a framework combining power forecasting, optimization, and carbon assessment using a multidimensional indicator system, PCA, t-SNE, and PSO.ResultsA 1% increase in PV generation could reduce China’s power sector carbon emissions by 2.05% by 2035; the model achieved an R2=0.9975.Discu