Energy-Arena: A Dynamic Benchmark for Operational Energy Forecasting
Max Kleinebrahm, Jonathan Berrisch, Philipp Eiser, Wolf Fichtner, Veit Hagenmeyer + 9 more
TLDR
Energy-Arena is a dynamic platform for operational energy forecasting, providing a continuously updated benchmark to improve research comparability.
Key contributions
- Introduces Energy-Arena, a dynamic benchmarking platform for operational energy forecasting.
- Addresses the comparability gap in energy forecasting by standardizing evaluation.
- Provides continuously updated reference points as energy systems evolve over time.
- Features an open, API-based submission system with rolling evaluation windows.
Why it matters
Energy forecasting research struggles with comparability due to inconsistent evaluation methods. This paper introduces Energy-Arena, a dynamic platform that standardizes challenges and provides continuous, forward-looking benchmarks. It improves transparency, prevents information leakage, and enables consistent progress measurement in the field.
Original Abstract
Energy forecasting research faces a persistent comparability gap that makes it difficult to measure consistent progress over time. Reported accuracy gains are often not directly comparable because models are evaluated under study-specific datasets, time periods, information sets, and scoring setups, while widely used benchmarks and competition datasets are typically tied to fixed historical windows. This paper introduces the Energy-Arena, a dynamic benchmarking platform for operational energy time series forecasting that provides a continuously updated reference point as energy systems evolve. The platform operates as an open, API-based submission system and standardizes challenge definitions and submission deadlines aligned with operational constraints. Performance is reported on rolling evaluation windows via persistent leaderboards. By moving from retrospective backtesting to forward-looking benchmarking, the Energy-Arena enforces standardized ex-ante submission and ex-post evaluation, thereby improving transparency by preventing information leakage and retroactive tuning. The platform is publicly available at Energy-Arena.org.
📬 Weekly AI Paper Digest
Get the top 10 AI/ML arXiv papers from the week — summarized, scored, and delivered to your inbox every Monday.