AI RESEARCH

Energy-Arena: A Dynamic Benchmark for Operational Energy Forecasting

arXiv CS.LG

ArXi:2604.24705v1 Announce Type: cross 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