Carbon-Credit Monitoring and Prediction in Smart Factory using Explainable AI and Data Analytics

Monitoring and prediction are critical to meet the carbon reduction objective. However, relying solely on monitoring is not sufficient for local smart factories. Solutions must be built to help factories monitor, analyze, and predict their carbon footprint. In this work, a carbon smart proposal is presented incorporating analytics, and explainable AI for efficient carbon emission monitoring and prediction