AITeky Learn
Major project Energy, Power & Utilities

Daily demand forecast pipeline in production

Build a demand forecast and run it automatically every day, with data checks, a dashboard and accuracy alerts.

The brief

A forecast is only useful if it arrives every morning and someone notices when it goes wrong. Build the demand forecast, then run it as a scheduled pipeline with data checks, a dashboard of forecasts and actuals, and an alert when accuracy drops. Good looks like: a scheduled, tested pipeline, versioned models, a live dashboard, and alerts that fire on real accuracy drops.

What you will build

  1. Build and back-test the demand forecast
  2. Schedule daily data loading and checks
  3. Register models and run the forecast daily
  4. Show forecasts against actuals on a dashboard
  5. Alert when accuracy or data quality drops
  6. Document how to retrain

Free, open data to build it with

Check each dataset's licence before you publish your work. Your mentor gives your team its own version of the brief (data, scope or region), so every team's project is its own.

We use essential cookies to run the site. With your permission we also set one anonymous ID to count unique visitors, and Google Analytics cookies to see which pages help learners. Cookie notice

Join AiTeky Learn. It's free.

Create a free account to track your progress, save items for later and get study suggestions.

Sign up free Log in