📄️ Model Inference Pipeline
You should use this tutorial if you're working with machine learning model inference results and want to understand the complete workflow from finding scenarios to accessing detailed forecast data. This tutorial covers three key endpoints that work together to provide access to model inference data.
📄️ Dashboard Forecasts
This tutorial demonstrates how to extract, transform, and load comprehensive forecast data from the Enertel dashboard API. Use this approach when building data warehouses or when you need access to multiple models and forecast vintages.
📄️ Latest Forecasts
This tutorial shows how to retrieve the most recent forecasts from your saved price nodes using the latest forecasts API. This endpoint is ideal for business intelligence tools, trading dashboards, and applications that need simple, up-to-date forecast data.
📄️ Bulk Data Extracts
This tutorial demonstrates how to combine bulk forecast data extracts with live API data for backtesting and production optimization workflows. This approach is essential when you need consistent model performance across historical analysis and live trading applications.