[{"title":"( 4 个子文件 732KB ) load-forecasting-algorithms:使用多种算法(线性回归,随机森林,支持向量机,BP神经网络,GRU,LSTM)进行电力系统负荷预测电力预测。通过一个简单的例子。各种算法(线性回归,随机森林,支持向量)机器,BP神经网络,GRU,LSTM)用于电力系统负荷预测-源码","children":[{"title":"load-forecasting-algorithms-master","children":[{"title":"data.csv <span style='color:#111;'> 191.09KB </span>","children":null,"spread":false},{"title":"6algorithms-compare.ipynb <span style='color:#111;'> 1012.71KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 382B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 1.76KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]