11 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
Deep Learning for Forecasting the Energy Consumption in Public Buildings
Viorica Rozina Chifu, Cristina Bianca Pop, Emil St. Chifu +1
In this paper we propose a Long Short-Term Memory Network based method to forecast the energy consumption in public buildings, based on past measurements. Our approach consists of…
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…