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