Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
No
API Access
Has API
No
Integrations
SAS Data Loader for Hadoop
No
SAS MDM
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
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
Product Features
Utility Management Systems
Billing & Invoicing
No
Cable
No
Customer Management
No
Demand Planning
No
Electricity
No
Natural Gas
No
Plant Management
No
Service Call Management
No
Trash
No
Water
No
Work Order Management
No
Workforce Management
No