Case Study: a leading global industrial gas manufacturer achieves real-time ERCOT grid visibility and energy savings with C3 AI Energy Management

A C3.ai Case Study

Preview of the Leading Global Industrial Gas Manufacturer Case Study

a leading global industrial gas manufacturer unlocks $1.4M in annual energy savings with C3.ai

A leading global industrial gas manufacturer faced significant financial risk due to volatile electricity prices and high demand charges, particularly from Four Coincident Peak (4CP) events on the ERCOT grid in Texas. Their existing in-house AI solution failed to predict all peak events, leaving them exposed to hundreds of thousands of dollars in potential costs. To address this, they partnered with C3.ai to implement the C3 AI Energy Management solution for better forecasting and risk management.

C3.ai deployed its Energy Management application on Microsoft Azure, unifying over five years of historical data and establishing live data pipelines to train machine learning models for forecasting. The C3 AI solution achieved 100% accuracy in predicting 4CP events and enabled real-time monitoring, unlocking $1.4 million in annual energy cost savings potential. Due to this success, the manufacturer is scaling the C3.ai solution to other energy markets.


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