1. Sriya-AI can forecast energy demand by analyzing historical consumption data, reducing the likelihood of blackouts or brownouts
  2. The dataset has 245,099 records and 19 numerical features
  3. For regression, models were created using Lasso, Random Forest, XGBoost, MLP, and RNN algorithms
  4. Sriya-AI algorithms were able to predict national demand with an average accuracy between 94% - 100%