📄️ Data Exploration
This document provides step-by-step instructions for exploring and visualizing forecast data. This should be the first step in sorting through a data extract from Enertel.
📄️ 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.