From satellite images
to decisions on the ground.
I work on solar forecasting, distributed learning, and intelligent infrastructure. These projects explore how machine learning can support the critical operational decisions in energy and computing systems.
Solar Energy, 2025 · Solar forecasting
A transformer approach to solar forecasting that combines satellite images, weather data, and historical production.
Kubernetes · Intelligent autoscaling
A Kubernetes-native system for intelligent autoscaling based on custom service metrics. The second version accompanies a SoftwareX submission, currently in review.
SoftwareX, in review code
Slovenia · Solar forecasting
Solar forecasting system for day-ahead trading for the Slovenian transmission system operator.