Lukas Baur

🔬 Publications

for a full listing, take a look at either Google Scholar or ORCID

👨‍🎓 Supervision

Currently

• (bachelor thesis) C. Rappold: Benchmark of zero-shot prediction models for forecasting electrical loads in an industrial context / Benchmark von Zero-Shot Vorhersagemodellen für die Prognose von elektrischen Lasten im industriellen Kontext [2025]

Past

• (master thesis) D. Gekeler: Integration of open weather data to improve the forecast of electrical loads of industrial consumers using artificial intelligence (AI) / Integration von Open Data Wetterdaten zur Verbesserung der Prognose von elektrischen Lasten industrieller Verbraucher unter Verwendung von Künstlicher Intelligenz (KI) [2025]
• (master thesis) K. Kunkel: Predictability of electrical loads of different domains - An empirical study through benchmarking using artificial intelligence (AI) / Prognostizierbarkeit elektrischer Lasten verschiedener Domänen – Eine empirische Untersuchung mittels Benchmark unter Verwendung von Künstlicher Intelligenz (KI) [2025]
• (master thesis) M. Gu: Integration of Production Planning Data for Improving Electric Load Forecasting Using Artificial Intelligence [2024]

📚 Review Activities

• Applied Energy
  • Anonymous Title (still in review) [2025]
• Energy & AI
  • An Artificial Intelligence Framework for Explainable Drift Detection in Energy Forecasting DOI [2024]
  • Anonymous Title (reject) [2024]
• Applied Sciences
  • Self-Adaptive Clustering Model Based on Variable Time-Series Similarity Measure Analysis for V2G Electricity Price Prediction DOI [2024]
• Journal of Risk and Financial Management
  • Optimizing Energy Storage Profits: A New Metric for Evaluating Price Forecasting Models DOI [2024]
• Journal of Renewable and Sustainable Energy
  • Anonymous Title (still in review) [2025]
• IEEE Communications Standards Magazine
  • Anonymous Title (still in review) [2025]
• IEEE Transactions on Power Systems
  • Anonymous Title (still in review) [2025]
• Engineering Applications of Artificial Intelligence
  • Anonymous Title (still in review) [2025]

💻Code and side projects

Publicly Available Datasets For Electric Load Forecasting

This repository was created to provide a curated list of the most popular electric load forecasting (LF) datasets, simplifying the search for researchers and practitioners. Finding suitable datasets can be challenging, so the goal was to identify and make publicly accessible data easier to locate and use.

The datasets were identified through a comprehensive review of representative publications, then extracted, structured, and analyzed. Contributions are welcome—whether feedback, suggestions, or new datasets. Join us in enhancing this resource by submitting a pull request!

Many thanks to V. Chandramouli for his outstanding support and excellent cooperation.