most citedForecasting the Short-Term Energy Consumption Using Random Forests and Gradient Boosting

11 citations · 11 across the 1 of their papers we have counts for

collaborators

1 paper

cs.AI2022★ 11 cited

Forecasting the Short-Term Energy Consumption Using Random Forests and Gradient Boosting

Cristina Bianca Pop, Viorica Rozina Chifu, Corina Cordea +2

This paper analyzes comparatively the performance of Random Forests and Gradient Boosting algorithms in the field of forecasting the energy consumption based on historical data. Th…