Forecaster Renewables

Implement forecasting models for the generation of power
Published by Accenture


Forecaster Renewables

With complex behaviors, renewable technologies each react differently to weather changes. Reliable analytics are needed more than ever to ensure accurate planning of energy generation.

This application implements forecasting models for the generation of power from renewable sources. It is based on time series models, regression models, neural networks and hybrid models that manage the necessary weather drivers.

  • Reduce unbalancing cost, as accuracy is proven to be superior
  • Reduce the effort needed to produce the plan, as the process is highly automated
  • Adapt to the level of available skills, the app can be set to leverage on existing library of models and self identification algorithm or to allow a data scientist to use all of his skills
  • Reduce dependency on a single employee
  • Forecaster Renewables

    Forecaster Renewables Dashboard 1

    Forecaster Renewables Dashboard 2

    Forecaster Renewables Dashboard 3