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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Enhance the efficiency and effectiveness of decision-making across various levels by leveraging a comprehensive suite of automation, scalability, statistical expertise, and transparency, drawing from our extensive experience with numerous utilities globally. As the grid continues to evolve, it is essential to utilize a forecasting platform that can handle vast data sets to yield insights that reach down to the circuit level. SAS Energy Forecasting has demonstrated its ability to deliver detailed insights derived from these extensive data collections. By providing results that are repeatable, scalable, traceable, and defensible, this solution significantly boosts forecasting accuracy across diverse locations and levels of aggregation. The forecasts produced are transparent and well-documented, facilitating communication with both internal teams and external stakeholders, which can help prevent potential regulatory fines that could amount to millions. Furthermore, taking advantage of all available data can optimize investments in smart meters and advanced metering infrastructure, ultimately leading to improved operational outcomes. This comprehensive approach ensures that utilities remain agile and well-informed in a rapidly changing energy landscape.

Description

Preventing unexpected outages while swiftly addressing disturbances or emerging issues is essential. Meeting regulatory requirements and enhancing customer satisfaction can be achieved through immediate access to information and rapid restoration of service interruptions. As the grid evolves and becomes more intricate with the incorporation of distributed energy resources and storage solutions, these challenges simultaneously open doors to innovative approaches in power distribution management. The combination of smart meters, demand response systems, and distributed generation and storage—alongside advancements in grid automation—floods utility networks with data that must be adeptly managed to ensure efficient grid operations. Additionally, utilities are under increasing pressure from both regulators and customers to optimize grid performance and ensure dependable service at all times, which highlights the need for integrated management of distributed energy resources, including their monitoring, forecasting, optimization, and control. This integration not only enhances operational efficiency but also supports the transition toward a more resilient energy future.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

SAS Data Loader for Hadoop
SAS MDM
Siemens Grid Software

Integrations

SAS Data Loader for Hadoop
SAS MDM
Siemens Grid Software

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

SAS Institute

Founded

1976

Country

United States

Website

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

Vendor Details

Company Name

Siemens

Founded

1847

Country

Germany

Website

new.siemens.com/global/en/products/energy/energy-automation-and-smart-grid/grid-control/advanced-distribution-management.html

Product 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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