A foundation model is a large-scale AI model trained on a wide variety of data. Aurora is unique in that it is not limited to AI weather forecasting — that is just one of the things it does at a state ...

The landscape of demand forecasting, data science and machine learning is rapidly evolving, as companies seek innovative approaches to handle the intricate intersection between technology and consumer ...

The preprocessing script loads time series data from a CSV file, performs feature selection, creates training/validation/test splits, and generates sliding window examples for forecasting models. It ...

Abstract: This paper presents a comprehensive system for load forecasting, a critical component ... The paper follows a streamlined flow, integrating data collection, pre-processing, model training, ...

Those are very different data sets, but ensuring energy continuity requires the collection, analysis and synthesis of both. As the unexpected happens, accurate forecasting becomes a vital tool for ...

PJM forecast summer peak load rising to 178,895 MW in 2034 and the winter peak climbing to 164,824 MW in 2034. The grid operator also anticipates electricity use in its footprint will jump 2.4% ...

(2006) Models for mid-term electricity demand forecasting incorporating weather influences. Energy 31 (2–3): 208-227. Mohan N Soman KP Kumar SS (2018) A data-driven strategy for short-term electric ...