Part 1
One question we often get is whether Aiolos delivers the best load forecasts. The honest answer is that there is no universal “best” forecast. What matters is understanding which models, suppliers, and combinations perform best under different conditions. That is exactly what this webinar is about.
We will show how to evaluate external suppliers such as weather providers, forecasting system vendors, and AI or ML models, and how different combinations can be tested and compared to achieve the best balance between accuracy and cost.
The 5th of May we will arrange a webinar where we will present how to make evaluations of external suppliers, such as:
- Weather suppliers
- Forecasting system suppliers
- Internal/external forecasting models
We will also show you how you can use a combination of external suppliers as input to our AI/ML models to get the best out of your forecasts. And the best of all, how easy it is to set up and arrange these kinds of evaluations.
Part 2
A general presentation of news in Aiolos Forecast Studio 11.3. Some examples of what we will present are:
- Indata Control, our intelligent warning system to find and correct bad historical data in an automated way
- How can Aiolos by itself choose with models or which combination of models to use in different situations.
- How we are using several AI/ML models to improve the forecasts
- How to use regimes in Aiolos to improve the forecasts
There will also be time for questions and discussions at the webinar. The webinar is free of charge, and you are more than welcome to also invite colleagues if you would like.