SAS Energy Forecasting 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.
SAS Energy Forecasting Alternatives
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SKU Science
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Ubiik
The collection and analysis of extensive data from a vast array of devices scattered throughout a city serve as the backbone for numerous smart grid initiatives. Ubiik's Advanced Metering Infrastructure (AMI) solution enables utility companies to economically gather data from meters and field devices, empowering them to make strategic decisions that enhance grid stability and fortify grid resilience. The Head End System (HES) offers flexible and scalable microservices designed for the efficient processing and presentation of current information, allowing customers to interpret their meter data and drive meaningful business choices. Gathering large volumes of data from field meters can be a significant challenge, particularly when deploying utility-level systems that may involve hundreds of thousands to millions of smart meters. Each of these devices is responsible for consistently sending and receiving data at regular intervals, or as needed, from a central controller, ensuring that the information remains accurate and timely for optimal decision-making. This complexity emphasizes the importance of reliable communication systems in maintaining the effectiveness of smart grid operations.
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Skybill Utility Billing
Meter Management
Microsoft Dynamics Foundation
❖ Manage metering devices (locations, serial numbers, status, etc.)
❖ Automatically collect meter readings via M-Bus gateways
❖ Alternatively, import meter readings from MDM systems or Excel spreadsheets
❖ Built on Microsoft Dynamics 365 Business Central
❖ Easy-to-use and intuitive user interface
❖ Fully integrate your ERP, customer management and billing using the included Business Central subscription Tariffs & Rating
Cloud Service
❖ Powerful tariff configuration makes set-up of even complex tariffs easy
❖ Bill any utility service (electricity, gas, water, sewerage / waste water, heating)
❖ Supports postpaid and prepaid plans
❖ Apply consumption-based rating, fixed / step rates, TOU, periodic charges (e.g. standing/daily rates), discounts
❖ Bill by customer, customer group, or property, on any periodic basis (e.g. monthly / yearly)
❖ Software-As-A-Service (SAAS) model – we take care of all the infrastructure, software & maintenance
❖ Hosted on our secure data centes in Latvia, or alternatively in public cloud (AWS, Microsoft Azure) or private cloud
❖ Access SkyBill from anywhere via your desktop, tablet or mobile phone
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Integrations
Company Details
Company:
SAS Institute
Year Founded:
1976
Headquarters:
United States
Website:
www.sas.com/en_hk/software/energy-forecasting.html
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
Webinars
In Person
Training Videos
Customer Support
Business Hours
Online Support
SAS Energy Forecasting Features and Options
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