Data for: Machine Learning based Power Management Scheme for Hybrid Microgrid Restoration against Grid Contingencies

The data is consisted upon 5 folders: 1. Matlab Files - Optimization files for SVM and GPR files. 2. Optimization Results - Figures that contain optimization results after LSVR, M5/2GPR and RQGPR models are optmized. 3. Plots - Excel file containing analysis plots of the above mentioned models. 4. Simulink Models - Simulink source files. 5. Variables - Matlab variables used for Machine Learning model design.本数据集包含5个文件夹： 1. MATLAB 文件：面向支持向量机（Support Vector Machine, SVM）与高斯过程回归（Gaussian Process Regression, GPR）的优化文件。 2. 优化结果：存放经最小二乘向量机（Least Squares Vector Regression, LSVR）、M5/2GPR以及正则化二次高斯过程回归（Regularized Quadratic Gaussian Process Regression, RQGPR）模型优化后生成的优化结果可视化图表。 3. 绘图文件：包含前述各模型分析绘图的Excel文件。 4. Simulink 模型：Simulink 源文件。 5. 变量集：用于机器学习模型设计的MATLAB变量。