activity
20202026
most citedPredict+Optimize Problem in Renewable Energy Scheduling

4 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026★ 1 cited

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition

Nils Einecke

Large language models (LLMs) are increasingly used as coding partners, yet their role in accelerating scientific discovery remains underexplored. This paper presents a case study o…

cs.RO2025

Probabilistic Collision Risk Estimation for Pedestrian Navigation

Amine Tourki, Paul Prevel, Nils Einecke +2

Intelligent devices for supporting persons with vision impairment are becoming more widespread, but they are lacking behind the advancements in intelligent driver assistant system.…

cs.LG2023

The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond

Direnc Pekaslan, Jose Maria Alonso-Moral, Kasun Bandara +17

This paper presents the real-world smart-meter dataset and offers an analysis of solutions derived from the Energy Prediction Technical Challenges, focusing primarily on two key co…

cs.AI2022★ 4 cited

Predict+Optimize Problem in Renewable Energy Scheduling

Christoph Bergmeir, Frits de Nijs, Evgenii Genov +25

Predict+Optimize frameworks integrate forecasting and optimization to address real-world challenges such as renewable energy scheduling, where variability and uncertainty are criti…

cs.LG2020★ 1 cited

Spacecraft Collision Avoidance Challenge: design and results of a machine learning competition

Thomas Uriot, Dario Izzo, Luís F. Sim{õ}es +7

Spacecraft collision avoidance procedures have become an essential part of satellite operations. Complex and constantly updated estimates of the collision risk between orbiting obj…