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What is SAS Energy Forecasting?

To enhance decision-making efficiency and effectiveness at various organizational levels, it is crucial to utilize a robust suite of automation tools, scalability options, statistical knowledge, and transparency, all informed by our extensive global experience with utilities. As the energy grid undergoes continuous transformation, employing a forecasting platform capable of processing large data sets is vital for generating insights that penetrate down to the circuit level. SAS Energy Forecasting has proven its effectiveness in delivering comprehensive insights derived from these vast data pools. By offering results that are repeatable, scalable, traceable, and defensible, this solution markedly improves forecasting accuracy across numerous locations and levels of data aggregation. The forecasts generated are not only transparent and thoroughly documented but also enhance communication between internal teams and external stakeholders, thus helping to mitigate the risk of incurring substantial regulatory fines. Additionally, leveraging all available data enables the optimization of investments in smart meters and advanced metering infrastructure, which in turn leads to enhanced operational outcomes. This holistic strategy guarantees that utilities remain responsive and well-informed in an ever-evolving energy environment, ensuring they can adapt to changes swiftly and efficiently. By prioritizing these advanced methods and tools, organizations can position themselves favorably for future challenges in the energy sector.

What is Landis+Gyr Gridstream MDMS?

Landis + Gyr’s Gridstream Meter Data Management System (Core MDMS) is engineered to validate, manage, and supervise data gathered from advanced metering and smart grid technologies, while also preserving vital customer and meter metadata alongside usage and diagnostic details that enhance analytics and operational processes. It employs Validation, Estimation, and Editing (VEE) protocols to uphold data integrity, ensuring that any anomalous readings are identified for further examination or estimated as necessary, and features for virtual metering enable the computation of both aggregated and net energy pertinent to renewable energy projects. The system adeptly accommodates a variety of rate structures through billing determinants that leverage both actual and calculated data values. Event administration and exception management tackle flags and discrepancies in validation that cannot be rectified automatically via VEE protocols. Furthermore, workflow orchestration proficiently oversees interconnected transactions with detailed tracking and reporting functionalities, while automated group management facilitates collaborative actions based on device technology, rate categories, or geographic areas, further optimizing operational efficiency. This extensive approach guarantees that organizations can effectively leverage their data to support strategic decision-making, ultimately leading to improved performance and sustainability in energy management. As a result, companies that utilize this system are better equipped to adapt to the evolving demands of the energy landscape.

Media

Media

Integrations Supported

SAS Data Loader for Hadoop
SAS MDM

Integrations Supported

SAS Data Loader for Hadoop
SAS MDM

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SAS Institute

Date Founded

1976

Company Location

United States

Company Website

www.sas.com/en_hk/software/energy-forecasting.html

Company Facts

Organization Name

Landis+Gyr

Date Founded

1896

Company Location

Switzerland

Company Website

www.landisgyr.com/product/core-mdms/

Categories and Features

Utility Management Systems

Billing & Invoicing
Cable
Customer Management
Demand Planning
Electricity
Natural Gas
Plant Management
Service Call Management
Trash
Water
Work Order Management
Workforce Management

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