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In the domains of aeronautics, automotive, energy, manufacturing and retail, Munich Innovation Hub for Applied AI proposes novel solutions to counter the complexity and dependability challenges resulting from distributed accountability, the need for more ...
Forecast the Performance of Inverter Systems with multivariate inputs
The problem of finding faults in oscillating data in the form of 3-phase current and voltage values is considered. While these kind of data have high resolutions, we give a solution to multivariate changing point detection, framed as an anomaly detection...
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.
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).