1. Sriya-AI is important in the nuclear energy industry for monitoring and analyzing sensor data to prevent accidents and ensure safety.
  2. The dataset has 246,677 records with all 22 features as Numerical.
  3. Regression models were created using Sriya-AI techniques like Decision Tree, Random forest, XGBoost, Multilayer Perceptron, and Recurrent Neural Network.
  4. The models predicted future energy consumption with an average accuracy between 55% – 67% and helped to identify factors that determine future energy consumption.