23 citations · 25 across the 6 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023★ 23 cited
Data-driven building energy efficiency prediction using physics-informed neural networks
Vasilis Michalakopoulos, Sotiris Pelekis, Giorgos Kormpakis +3
The analytical prediction of building energy performance in residential buildings based on the heat losses of its individual envelope components is a challenging task. It is worth…
cs.LG2023★ 2 cited
A Machine Learning-Based Framework for Clustering Residential Electricity Load Profiles to Enhance Demand Response Programs
Vasilis Michalakopoulos, Elissaios Sarmas, Ioannis Papias +3
Load shapes derived from smart meter data are frequently employed to analyze daily energy consumption patterns, particularly in the context of applications like Demand Response (DR…