Forecaster Renewables
Implement forecasting models for the generation of power
Published by
Accenture
Forecaster Renewables
Published by
Accenture
Overview
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
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.
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