SAS Energy Forecasting Cloud

Energy forecasting as a service

Optimize decisions, reduce computing requirements and unburden your IT organization with the highest-quality, AI-embedded short-term and very-short-term forecasts – delivered as a service.

From generation to distribution, get repeatable, traceable, and defensible energy forecasts in the cloud. Scale up and scale down depending on the requirements of your business.

Streamline and automate your energy forecasting process.

SAS Energy Forecasting Cloud enables you to automate data ingestion and statistical and AI/ML model building so you can select the best one without the need for data science expertise. Whether you are a dispatcher or a trader, you can make the timeliest operations decisions and market offers, like never before.

Get accurate, robust energy forecasts at your fingertips.

SAS Energy Forecasting Cloud systematically considers hundreds of combinations of factors to develop the best model to use for your short- and very-short-term forecasting needs. As a result, robust 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 renewable generation forecasts for an expanding energy grid.

Get hourly and sub-hourly forecasts for load and renewable generation, enabling your organization and your customers to have accurate and reliable net-load forecasts that help optimize the use of energy resources.

Ensure compliance with defensible and scalable forecasts.

Be prepared for any situation with defensible and scalable forecasts. With SAS Energy Forecasting Cloud, you can quickly and accurately generate and defend your forecasts with respect to regulatory compliance. Our service forecasts thousands of time series and saves all data, models and results until they are archived.

Key Features

Automation, scalability, statistical sophistication and transparency for operating more efficiently and effectively at all levels of decision making.

As a service

Get the quality energy forecasts you’ve come to expect from SAS Energy Forecasting without having to maintain software in your facilities. Scale up and down as your business demands.

Load forecasting

Automate and streamline data ingestion for very short-term and short-term forecasting, including these models: GLM, ARIMA, NN, UCM, ESM.

Renewables forecasting

Provides an automated and scalable solution for traditional load forecasting, and extends the capabilities to effectively model renewable generation resources, such as solar and wind, with advanced machine learning and deep learning algorithms – ultimately producing a net load forecast that supports the needs of expanding diverse energy grids.

Advanced forecasting algorithms

Hourly and sub-hourly forecasting is based on trusted data and advanced forecasting algorithms. Reliable data is ensured with data quality capabilities.

High-performance load forecasting

Maximized value from existing planning resources and improved forecast performance enable utilities to operate more efficiently.

Single administration & reporting interface

A visual interface lets users view forecasting results from the forecast workbench – and no coding is required for autocharting capabilities.

Flexibility & scalability

Automated champion model selection and forecasting are available as a service. The completely redesigned architecture is compact, cloud native and fast.

Improved load forecasting performance & operations planning capabilities

Repeatable, scalable, traceable results improve forecasting across all locations and levels of aggregation.

Better trading & contract purchase decisions

Statistical and visual indications of the likely range of forecasted outcomes let modelers incorporate quantifiable variability and confidence limits when making operational and financial decisions.

Maximizes investments in smart meters & advanced metering infrastructure using all data

Better predictions about energy demand are possible with accurate predictive models based on data from more sources, including smart meters and IoT-connected devices.

Lets you do more better with existing planning & forecasting resources

A common forecasting methodology and data integration processes across forecasting horizons eliminate the need to train forecasters on multiple software tools.

Get to Know SAS Energy Forecasting Cloud

Explore More on SAS Energy Forecasting Cloud

Solution Brief

Optimize decisions, unburden IT with energy forecasts as a service

Learn how to get repeatable, traceable and defensible load forecasts with reduced computing requirements

White Paper

How does forecasting enhance smart grid benefits?

Examine the new challenges affecting forecasters, as well as the opportunities for harnessing smart grid data to maximize the value of forecasting.

White Paper

When One Size No Longer Fits All - Electric Load Forecasting With a Geographic Hierarchy

Learn how utility forecasters take advantage of hourly or sub-hourly data from millions of smart meters by using new types of forecasting methodologies

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