Systems and methods for updating confidence values for energy information associated with an industrial automation system

This invention describes a computer system that helps industrial facilities understand how reliable their energy consumption data is. It takes energy readings from equipment, along with information about how that equipment is currently operating, and then adjusts a 'confidence level' for the energy data. This helps users know if the energy numbers they're seeing are trustworthy, especially when trying to manage energy use across multiple pieces of equipment.

Why it matters: Filed before the widespread adoption of industrial IoT sensors and advanced edge computing, this system can now leverage real-time, high-fidelity operational data. Modern machine learning techniques also offer more sophisticated ways to dynamically assess and update data confidence, making energy optimization more precise than was feasible in 2013.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedSoftware logic, industrial data integration, real-time processing

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