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What is ETAP ADMS?

An Advanced Distribution Management System (ADMS) must deliver adaptable solutions that meet the essential needs of the evolving digital grid. It is crucial for the system to ensure network resilience and reliability while also offering the scalability and intelligence necessary for proactive assessment of operational outcomes, ultimately aiming to reduce asset costs and enhance network performance. The ETAP ADMS stands out as a sophisticated decision-support platform that leverages a unified Digital Twin of the electrical network alongside various geospatial-based distribution system applications. This integration facilitates dependable and secure management, control, visualization, and optimization of both small and large distribution networks as well as smart grids. By incorporating integrated electrical asset information and network connectivity visualization, it enables predictive analysis for potential future scenarios and what-if conditions. Furthermore, it provides advanced decision support analysis and adaptive optimization functionality, ensuring that utilities can respond swiftly to changing demands and challenges in the energy landscape. Through these capabilities, the ETAP ADMS positions itself as an essential tool for modern energy management.

What is Azure Digital Twins?

Azure Digital Twins serves as an IoT platform enabling the creation of digital replicas of physical entities, spaces, processes, and people. This innovative platform yields critical insights that can significantly improve product development, optimize operational efficiency, lower costs, and enhance customer satisfaction. It provides an intuitive framework for crafting digital representations of interconnected settings using a flexible modeling language. Users can model a wide variety of entities, including buildings, manufacturing plants, agricultural fields, energy systems, transportation networks, sports facilities, and even entire cities. These digital twins come alive in a dynamic execution environment that monitors changes over time. By utilizing powerful query APIs, users can glean actionable insights into the behaviors of their modeled environments and easily integrate with Azure's data analytics services. The open modeling language allows for the creation of customized domain models tailored to any connected setting through the Digital Twins Definition Language, ensuring adaptability across various applications. Thus, Azure Digital Twins not only supports business innovation but also enables organizations to adjust effectively in an ever-evolving digital landscape, making it an invaluable tool for modern enterprises.

Media

Media

Integrations Supported

AVEVA Asset Information Management
AVEVA PI System
ArcGIS
Azure Marketplace
EcoStruxure
Hexagon LandMark
ICONICS' Intelligent Building Software (IBSS)
Microsoft Azure

Integrations Supported

AVEVA Asset Information Management
AVEVA PI System
ArcGIS
Azure Marketplace
EcoStruxure
Hexagon LandMark
ICONICS' Intelligent Building Software (IBSS)
Microsoft Azure

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

ETAP

Date Founded

1986

Company Location

United States

Company Website

etap.com/adms

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/digital-twins

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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