在这个比赛中，我们尝试了一系列的特征工程和模型融合，以提高模型的性能。在特征工程方面，我们加入了时间相关变量、平方项、立方项、比率、滚动SMA、滚动方差、PCA主成分、实发辐射的测试集预测值、NMF衍生变量、prophet等；在模型融合方面，我们尝试了神经网络模型、Xgboost模型、时间序列模型以及基于概率模型的融合。
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