Energy Forecasting - Crosser Top 10 Smart Industry Use Cases

This video focuses on energy forecasting, particularly valuable for process industry customers aiming to manage and reduce energy costs. By integrating internal production forecasts from a historian with real-time weather data obtained from an external service, Crosser facilitates hourly updates to predict energy needs for the next 48 hours. Implemented through a Python module, this forecasting algorithm generates precise forecasts used by external energy providers, such as a pulp and paper mill, to optimize energy consumption, thereby minimizing unplanned energy expenses and enhancing cost-efficiency in production operations.
Watch the full video here to gain practical insights on implementations and benefits: info.crosser.io/webinar_Top-1...