Sriya-AI can optimize energy usage in buildings and identify
opportunities to reduce energy consumption, improve
efficiency, and lower costs.
Sriya-AI can calculate and analyze carbon footprints across
industries, organizations, and products to identify areas
where emissions can be reduced.
The dataset has 175,259 records with 2 Categorical and 16
Numerical Features.
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.
The Sriya-AI algorithms were able to predict Clearsky GHI with
an average accuracy between 97% – 99%.