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

Published: 21 June 2020| Version 1 | DOI: 10.17632/svdfjywbtj.1
Sidra Kanwal, Bilal Khan, Sahibzada Muhammad Ali


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.



Data Science, Machine Learning, Renewable Energy, Power Electronics, Electric Power Ancillary Service