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What is UST IQ?

UST IQ for AMI Analytics revolutionizes the data engineering workflow by seamlessly managing the ingestion of extensive, high-frequency metering data and providing detailed insights, thereby enabling AMI business operations to focus on critical decision-making rather than IT infrastructure issues. It adeptly gathers both real-time and historical data, encompassing meter readings, alarms, events, GIS details, as well as data from external sources, converting this information into formats that are ready for querying through a cloud-native, microservices framework. This architecture facilitates self-service querying, location-specific and role-oriented analytics, and anticipatory exception management, equipping operations teams with vital insights into network irregularities, meter efficiency, outages, and environmental factors including seismic activity and weather conditions. Consequently, it improves the capacity to optimize field crew allocation, prevent costly failures, and enhance restoration processes. The system adeptly processes an immense volume of data, managing hundreds of millions of records on a daily basis through low-latency micro-batching, usually within 5-minute intervals, while also including capabilities such as 30-day rolling averages and alert-triggered notifications to bolster operational efficiency. This thorough strategy not only speeds up data processing but also guarantees that actionable insights are available as required, ultimately driving enhanced operational effectiveness and facilitating better strategic planning. Additionally, the integration of advanced analytics promotes a proactive approach to managing utilities, ensuring that businesses can respond swiftly to emerging challenges.

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.

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

UST

Company Location

United States

Company Website

www.ust.com/en/what-we-do/digital-transformation/data-analytics/ust-iq/ami

Company Facts

Organization Name

SAS Institute

Date Founded

1976

Company Location

United States

Company Website

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

Categories and Features

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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