Forecasting models

In the Energy industry, this could refer for example to the prediction of the decline in production for mature oil fields, or the forecasting of renewable energy power load (e.g. wind, solar).

To solve this problem different statistical, probabilistic and machine learning models can be applied, each one with its own strengths for model interpretability and flexibility on the available dataset.

Our experts have in depth theoretical and practical knowledge of state of the art forecasting models, which combined with excellent business domain knowledge, allows us to produce tailored models for each specific request.

kwantis Digital Lab team has then the cross-functional skills needed to integrate the model in a fully functioning data product, ready to be deployed in production.