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SAS Energy Forecasting Cloud

by SAS Institute Inc.

SAS® Energy Forecasting uses deep learning techniques for load and generation forecasts

SAS Institute Inc. - Global

SAS® Energy Forecasting Cloud enables utilities, large and small, with trustworthy, repeatable, defensible, and scalable energy forecasts across all locations, at all levels of aggregation. Delivered in the cloud, this AI-embedded solution enables utilities to make informed decisions about energy demand from generation to distribution for improved planning in the face of an expanding and diverse grid -- without burdening IT or increasing computing requirements.


Transparent, trusted forecasts are essential for sharing with internal partners and third-party stakeholders – and for avoiding millions of dollars in trading and operations losses and regulatory fines. But not all organizations have the budget and resources to maintain forecasting software on-premises. With SAS Energy Forecasting Cloud all utilities can scale their energy forecasting needs to support their business.

Utilities using SAS Energy Forecasting Cloud can be confident that they’ll operate more efficiently and effectively due to our automation, scalability, statistical sophistication and transparency. Plus, we have experience working with hundreds of utilities worldwide.

Streamline and Automate the Energy Forecasting Process

SAS Energy Forecasting Cloud enables utilities to automate data ingestion and statistical and AI/ML model building so they can select the best one without the need for data science expertise. Whether they are a dispatcher or a trader, they can make the timeliest operations decision and market offer.

Get Accurate, Robust Energy Forecasts in a Snap

SAS Energy Forecasting Cloud systematically considers hundreds of combinations of factors to develop the best model to use for the utilities short and very-short-term forecasting needs. As a result, forecasts are always available in the control and trading rooms. In fact, our customers have consistently seen mean absolute percentage errors (MAPEs) of 2% or less (using quality regional level data).

Create load and generation forecasts for an expanding energy grid

Get hourly and sub-hourly forecasts for load and renewable generation, enabling utilities and their customers to have accurate and reliable net-load forecasts that optimize energy use.

Ensure Compliance with Defensible and Scalable Forecasts

Be prepared for any situation with defensible and scalable forecasts. With SAS Energy Forecasting Cloud, utilities can quickly and accurate generate and defend forecasts for regulatory compliance. The solution forecasts thousands of time series and saves all data, models and results until they are archived.


At a glance

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