Imagine a future where utilities, energy traders, and planners can anticipate electricity demand, renewable generation, and market prices with exceptional precision. That future is already here with SAS Energy Forecasting Cloud, also known as EFC.
EFC is built on trusted GLM-based models and now operates on a cloud-native architecture. It delivers scalable, automated, and highly accurate forecasts, making advanced analytics available to a broader audience.
What Sets EFC Apart
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Cost Savings: A one percent improvement in forecast accuracy can lead to hundreds of thousands of dollars in annual savings for utilities.
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Efficiency: EFC simplifies data integration and automates model creation. This helps teams avoid duplication and make faster, more informed decisions.
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Flexibility: EFC supports a wide variety of data sources and modeling approaches, including statistical methods and deep learning. It integrates smoothly into existing business processes.
Who Gains the Most?
Organizations that depend on reliable forecasts for operational and financial decisions—such as utilities, energy traders, and planners—benefit from a consistent and scalable solution. Partners can quickly launch pilots and demonstrations without needing a team of forecasting specialists.
See EFC in Practice
Want to understand how these innovations work in real-world scenarios? Episode 11 of IoT Innovators features Arnie de Castro and Sacha Fontaine sharing practical use cases, technical insights, and stories from the field.
Click here to watch the video and explore how SAS Energy Forecasting Cloud is helping shape the future of energy.
