1. Sriya-AI can optimize energy usage in buildings and identify opportunities to reduce energy consumption, improve efficiency, and lower costs.
  2. Sriya-AI can calculate and analyze carbon footprints across industries, organizations, and products to identify areas where emissions can be reduced.
  3. The dataset has 175,259 records with 2 Categorical and 16 Numerical Features.
  4. For regression, models were created with algorithms using Sriya-ML techniques such as Lasso, Random forest, XGBoost, Multilayer Perceptron, Recurrent Neural Network, and Artificial Neural Network.
  5. The Sriya-AI algorithms were able to predict Clearsky GHI with an average accuracy between 97% – 99%.