What kind of models are deployed for Machine Learning and AI within db Energy?

DB Energy engine primarily consists of a neural network model, enhanced through another ensemble method to get the maximum benefit. 

  • The neural network model used in energi.ai is an LSTM (Long Short-Term Memory) model that is one of the best machine learning model types to learn from multivariate time-series data.
  • The other model in use is an Autoencoder which is essentially driven to detect anomalies from the KPI data received.
  • While both the above models improve over time as they learn from the specific environment they are deployed at, the Autoencoder improves significantly over time.
  • The models mentioned above deliver the primary feed for the actions and itS further strengthened by the Ensemble Method used to improve the accuracy of the output.

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