Fostering Data Fluency: Building a Strong Data…
A bot which builds a smart prediction model in the context of wind power forecasting.
The generation of electricity from renewable energy sources is by nature intermittent and highly dependent on weather conditions. Continuous improvement of models to forecast renewable production is at the heart of the goal to ensure a balance between consumption and production, anticipate energy costs on wholesale markets, and optimize unit commitment and market sales. Sia Partners’ Data science team developed a bot that builds a smart prediction model in the context of wind power forecasting.
State-of-the-art forecast algorithms are numerous and can be applied to wind power production. Each of them has their own strengths and weaknesses (general behavior, extrema, or rapid change prediction …). With the expert advice approach, Sia Partners’ Data science team mixed all the individual models to create an optimized meta-model. The resulting algorithm is at least as efficient as the best individual model.
If you wish to learn more about our bot, use the link below to access a demo:
To learn more about Heka and its ecosystem