2 citations · 2 across the 5 of their papers we have counts for
5 papers
MxGPS: Multiplex Graph Transformers for a Power Grid Foundation Model
Charilaos Papaioannou, Ioannis Tsantilas, Dimitris Giannakakos +9
Single-task fine-tuning of graph neural networks (GNNs) for power grid problems exhibits a systematic failure mode: models that achieve the lowest in-distribution error degrade the…
Integrating Dynamic Correlation Shifts and Weighted Benchmarking in Extreme Value Analysis
Dimitrios P. Panagoulias, Elissaios Sarmas, Vangelis Marinakis +2
This paper presents an innovative approach to Extreme Value Analysis (EVA) by introducing the Extreme Value Dynamic Benchmarking Method (EVDBM). EVDBM integrates extreme value theo…
A multi-dimensional unsupervised machine learning framework for clustering residential heat load profiles
Vasilis Michalakopoulos, Elissaios Sarmas, Viktor Daropoulos +4
Central to achieving the energy transition, heating systems provide essential space heating and hot water in residential and industrial environments. A major challenge lies in effe…
Home Energy Management Systems: Challenges, Heterogeneity & Integration Architecture Towards A Smart City Ecosystem
Georgios Kormpakis, Alexios Lekidis, Elissaios Sarmas +4
The contemporary era is marked by rapid urban growth and increasing population. A significant, and constantly growing, portion of the global population now resides in major cities,…
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…