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Wind Energy Forecasting and Action

Wind Energy Forecasting and Action is a solution that allows renewable energy companies to predict, report, and meet users’ power-generation needs more accurately. The solution can generate alerts at least 90 minutes ahead of time for turbines that cannot meet a 24-hour energy generation forecast, and then apply this data to optimize turbine settings or revise a forecast.

Key Technical Capabilities

month+ 

historical and real-time data collected from SCADA controller system on each turbine, augmented with weather, atmosphere, and terrain data

20 +

attributes to predict power generation over 15-minute intervals that are used to train models

Real-time

Models that create real-time scores about power generation. (VEL expressions are used to compare performance against forecasts to generate alerts) 

Finetune

Finetuning  of turbine settings or revision of forecasts, based on dynamic data

Architectural diagram/Data Flow Chart

Technologies Used

  • SAP HANA
  • Val&CEP
  • SAP Cloud Foundry
  • Docker
  • Historian
  • MQTT
  • Machine Learning

Click on the image to enlarge diagram.

Resources

SAP HANA product page

SAP HANA tutorials

Docker

Historian

Use Machine Learning to Build a Time Series Model with SQL

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