empAI uses artificial intelligence and the concept of a digital twin to make a company’s energy flows transparent and efficiently manageable. By combining various data sources, it creates a dynamic representation of the company’s energy landscape: from production facilities and office buildings to on-site energy generation.
Three key data components build the foundation of this technology:
• The Energy Twin includes all energy-related data such as consumption and generation values, collected via sensors or smart metering systems.
• empAI also incorporates operational data, including production schedules, working hours, and business processes, to analyse energy usage in the context of daily operations.
• This is complemented by external factors such as weather data, public holidays, and current as well as forecasted energy prices.
To ensure flexible use, empAI is built around a modular structure with four core components:
• Energy Management: Captures and visualizes energy flows, identifies savings potential, and ensures transparent monitoring.
• AI-based Forecasting: Detects usage patterns, predicts energy demand, and optimizes energy-intensive processes.
• CO₂ Monitoring: Tracks, analyses, and reduces emissions, forecasts CO₂ levels, and enables the generation of certificates.
• Energy Market: Takes energy prices into account, optimizes procurement strategies, and integrates renewable energy sources.
Thanks to this smart interconnection, empAI helps companies use energy more efficiently, reduce costs, and achieve their sustainability goals.