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
API Access
Has API
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
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