DIH Saxony-Anhalt
AI is expected to dramatically reshape the energy sector. This section provides references on on-going projects and existing results in that area.
Forecast the Performance of Inverter Systems with multivariate inputs
A set of NiFi templates in XML format together with python scripts that serve as a starting point for creating your own DataFlow pipeline to collect data for ML/DL Models training and testing.
Hourly wind power production data in MWh/h from 69 wind farms in Norway.
Finding your business or tech Co-Founder
AI Founders Incubator Programm for startups and founders working on #ai-related business ideas.
A forecasting service for predicting of the Portuguese aggregated electricity load time series (15-min resolution, 24hr forecasting horizon). The service makes use of the LightGBM algorithm. (AIExperiments asset)
A databroker service used for loading timeseries to forecasting machine learning models (AIExperiments asset)
A databroker service used for loading timeseries to forecasting machine learning models
A forecasting service for predicting the aggregated hourly net electrical load of the Portuguese transmission system operator (REN). The service makes use of an LSTM network.(AIExperiments Asset)
Α seasonal ARIMA load forecasting model for boiler rooms in district heating networks (AIExperiments Asset).