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Forecast RES generation based on best machine learning algorithms.



Thor is a tool dedicated to the prediction of generation from renewable sources such as photovoltaics and wind farms.

. The tool uses meteorological forecasting data and historical generation data.

Thor is a tool dedicated to the prediction of generation from renewable sources such as photovoltaics and wind farms. The forecasting scope can include individual installations or their area aggregations. A dedicated forecast model is built for each installation or area.

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Unique features

Quality of forecasts

Using the latest techniques in machine learning, we provide the highest quality generation forecasts for both point and area generation whether it is PV or wind farm.

Reliability

Random events are generally rare but can be critical to your business. Thor includes modules to reliably respond to gaps in weather and measurement data.

Scalability

System architecture and library functionality enable linear scalability of the solution depending on customer needs - from single locations to hundreds of RES farms.


Process for building work schedules and purchasing strategy

Diagram

For whom

Trading operators, thanks to accurate forecasts, will increase the quality of scheduling and thus reduce balancing market costs. Distribution and transmission network operators, thanks to the knowledge of generation levels, will model the flows in the network and potentially exceed the parameters such as voltage levels. Unit owners will plan maintenance shutdowns at the most convenient times. Aggregators will know when to mobilize the necessary flexibility resources for balancing.