3 papers
cs.LG2026
Improving Spatial Allocation for Energy System Coupling with Graph Neural Networks
Xuanhao Mu, Jakob Geiges, Nan Liu +2
In energy system analysis, coupling models with mismatched spatial resolutions is a significant challenge. A common solution is assigning weights to high-resolution geographic unit…
cs.CV2026
A Multi-Agent System for Building-Age Cohort Mapping to Support Urban Energy Planning
Kundan Thota, Thorsten Schlachter, Veit Hagenmeyer
Determining the age distribution of the urban building stock is crucial for sustainable municipal heat planning and upgrade prioritization. However, existing approaches often rely…
cs.LG2025
Self-Supervised Temporal Super-Resolution of Energy Data using Generative Adversarial Transformer
Xuanhao Mu, Gökhan Demirel, Yuzhe Zhang +3
To bridge the temporal granularity gap in energy network design and operation based on Energy System Models, resampling of time series is required. While conventional upsampling me…