The newer systems are trying to build predictive models of consumption. Startups are aiming to revolutionize this approach by introducing AI-based predictive models. These models can analyze vast amounts of data to forecast energy usage patterns, identify inefficiencies, and optimize energy distribution in real-time. By leveraging machine learning algorithms, these systems can learn from historical data and continuously improve their accuracy, providing organizations with powerful tools to enhance energy efficiency and reduce environmental impact. This shift towards predictive analytics represents a significant advancement in energy accounting, enabling more proactive and intelligent energy management.