Researchers Unveil Transformer-Based GAN Framework to Predict Energy Demand and Cut Carbon Emissions
A newly published artificial intelligence framework leverages generative adversarial networks and Bayesian optimization to forecast power consumption and help facility operators reduce carbon emissions.
