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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Landis + Gyr’s Gridstream Meter Data Management System (Core MDMS) is designed to validate, manage, and oversee data collected from advanced meters and smart grid devices, while also storing essential customer and meter metadata along with usage and diagnostic information that fuels analytics and operational workflows. It incorporates Validation, Estimation, and Editing (VEE) protocols to maintain data accuracy, ensuring that any irregular readings are either flagged for review or estimated appropriately, while its virtual metering features facilitate the calculation of aggregated and net energy for renewable energy initiatives. The system accurately supports various rate structures through billing determinants that utilize both measured and calculated data values. Event administration and exception management address flags and validation discrepancies that cannot be resolved automatically through VEE protocols. Additionally, workflow orchestration effectively manages interconnected transactions with comprehensive tracking and reporting capabilities, while automated group management allows for collective actions based on device technology, rate class, or geographic location, streamlining operations even further. This comprehensive approach ensures that businesses can efficiently harness the power of their data to drive informed decision-making.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

SAS Data Loader for Hadoop
SAS MDM

Integrations

SAS Data Loader for Hadoop
SAS MDM

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

Landis+Gyr

Founded

1896

Country

Switzerland

Website

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

Vendor Details

Company Name

SAS Institute

Founded

1976

Country

United States

Website

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