Webinar - Our two best recommendations to improve your energy forecasts
Indata Control – automatic ways to handle bad historical data
Indata Control is a tool to handle bad data used in Aiolos when making a forecast. The module detects bad data and present the info to the user (as seen in the picture below) but can also take automatic actions, for example delete bad data, replace the bad data with a forecast, interpolate values etc. Indata Control is now successfully being used by our clients and the forecasting experts at Vitec believe it to be one of the best development features in Aiolos ever.
Picture of Indata Control
Aiolos Optimization Studio
We often get questions from potential clients if we can improve their forecasts by combining their existing forecasts with the forecasts made with Aiolos. We have made a handful of tests so far and the result clearly shows that there are improvements to be made by combining external forecasts with Aiolos.
As a result of this, we have focused our development resources on further improving this weighting functionality. At the webinar we will show how this weighting can be done in Aiolos and give examples of improvements made by combining forecasts.
The energy market is being bombarded with new advanced AI/ML models and our belief is that this weighting part is going to be more and more important for the energy companies.
We will finalize the webinar with a session for questions and discussions.
Date and place
15th of December at 14.00 (CET) by Teams
The webinar is free of charge.
If you have questions, do not hesitate to contact Niklas.email@example.com or at +46 706 186 490.
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