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CUERVA, a Spanish Energy Operator required a predictive system based on consumption and production patterns to help them avoid congestion and overvoltage events in the grid. Barbara facilitated the Edge Platform to deploy AI algorithm for demand and generation prediction and enabled MLOps techniques to retrain algorithm in the Edge.

By implementing real-time optimized Machine Learning algorithms at each of its desalination plants, ACCIONA a global infrastructure operator, managed to minimize the use of reactive chemicals, eliminate associated regulatory penalties, and leverage an edge infrastructure to implement new predictive applications. In this article, we explore the intricacies of the project.

REDEIA was tied to the specifications of its current software-hardware assemblies and did not have the flexibility to add new applications. The virtualization of the electrical substation brought Redeia new opportunities to optimize its infrastructure investment, increase grid resilience and plan evolutive maintenance more efficiently.

Barbara´s Edge platform offers Edge Computing-based solutions tailored for critical installations. It enables the efficient operation and predictive maintenance of high-voltage transmission lines through the application of distributed artificial intelligence and machine learning.

ACCIONA a global infrastructure operator, spent significant time and resources examining water samples in a laboratory to determine chemical concentrations. Due to the time it took to obtain these results, they were often outdated and unreliable which resulted in additional costs related to chemical supply as well as possible regulatory penalties.

Learn how Barbara enabled Smart Grid stakeholder to virtualize the components of a medium to low voltage transformer substation and achieve independence between hardware and software and enable peer-to-peer cooperation between substations.

Barbara Industrial Edge platform will provide local sovereignty to the data source through the implementation of Edge IDS connectors and will include a cyber security layer for secure communications, identity management, trust management and access control, in line with the IDS vision.

Discover how CUERVA gained complete, real-time digital visibility into the last mile of the power grid, making the system more transparent to all stakeholders while reducing the number of incidents and associated response times.

To operate more efficiently, water management operators need to be able to monitor in a unified and comprehensive way all components that make up the OT and industrial automation architectures.

Aggregate heterogeneous distributed resources and facilitate physical world connectivity. Barbara's software enables the creation of Virtual Power Plants through Edge Computing Nodes that monitor and control the power sources, and a centralized control platform that manages the entire system in an agile and simple way.

With Barbara's Edge Platform, CUERVA is able to capture and process real-time data from line cells and fault pass detectors as well as detect anomalous behavior and optimize its maintenance operations.

EDP Solar needed to have a monitoring system that would allow it to obtain real-time information on its customers' production and consumption, as well as alarms and information on the status of each installation, both to make it available to its customers and for internal use by the O&M team.

Learn how with Barbara Edge Platform, EDP was able to achieve real-time control of distributed resources such as photovoltaic inverters, batteries, EV chargers and heat pumps with Edge Gateways to make smart flexibility decisions between Smart Grid stakeholders.

A compilation of success stories from diverse industries and organizations showcasing the impactful outcomes of Edge AI projects.