本研究对比了GBM、LSTM、CNN和随机森林四种机器学习模型在印度六个地点的小时风功率密度预测效果，发现GBM最优，CNN最差。结合Weibull分布和气象因素分析，揭示了区域差异对风电规划的影响，为智能电网优化提供依据。 本研究针对印度六地风能资源评估与预测 ...

Different measures of goodness-of-fit provide information to describe how well models fit the data. However, it’s important to note that these measures have shown modest growth in comparison to the ...