31 citations · 35 across the 4 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
cs.LG2017
Random Forest Ensemble of Support Vector Regression Models for Solar Power Forecasting
Mohamed Abuella, Badrul Chowdhury
To mitigate the uncertainty of variable renewable resources, two off-the-shelf machine learning tools are deployed to forecast the solar power output of a solar photovoltaic system…
cs.LG2017★ 31 cited
Solar Power Forecasting Using Support Vector Regression
Mohamed Abuella, Badrul Chowdhury
Generation and load balance is required in the economic scheduling of generating units in the smart grid. Variable energy generations, particularly from wind and solar energy resou…