📄️ Data Exploration
This tutorial provides comprehensive guidance for exploring and visualizing Enertel forecast data. Use this as your first step when working with a data extract to understand the structure, quality, and characteristics of your forecast dataset.
📄️ Day-Ahead Analysis
This tutorial provides an in-depth guide for analyzing and visualizing day-ahead power market forecasts. The guide includes data preparation, metric calculation, and forecast visualization. By the end of it you will be able to:
📄️ Hourly Evaluation
This tutorial provides an in-depth guide for analyzing and visualizing same-day power market forecasts and is typically useful for battery operators and real-time desks. Data professionals and IT teams will find it useful in a Jupyter notebook, and it should significantly remove friction associated with assessing a vendor's forecasts.