Miren Zabaleta

Barbara and Gridfy have joined forces to bring AI Flexibility algorithms to the Edge.‍‍ Gridfy has developed and implemented the AI flexibility algorithm located in one of Cuerva´s substations while Barbara has provided the Edge Platform that deploys and orchestrates Artificial Intelligence in the Edge.

We are back at ENLIT Europe 2023, to showcase how Transmission and Distribution System operators can improve their operations by virtualizing HV, MV and LV substations and add intelligence to their assets with Edge AI Technology.

By 2025, a staggering 75% of enterprise data will be created at the edge. Moreover, by 2027, deep learning will be in over 65% of edge use cases. As the volume of data continues to increase, computing is shifting towards the edge. This presents a unique opportunity for AI /ML Teams to learn and adopt best practices in implementing Machine Learning in the Edge. Learn more and replay our webinar on The Cutting Edge of MLOps.

Companies are increasingly interested in virtualizing electrical equipment because it offers a range of benefits for their operations. Virtualization reduces the need for physical infrastructure, which can result in cost savings, reduced maintenance requirements, and increased safety. We will be at CIRED 2023, showcasing how to virtualize substations from Transmission to Middle and Low Voltage networks through Edge Computing Technology.

With the increased number of distributed energy resources DERs onto the grid, energy operators need a predictive system based on consumption and production patterns to help them avoid congestion and overvoltage events in the grid. In this article, we cover a specific project we are running under the i-nergy programme, an EU-funded initiative aiming to support and develop new AI-based Energy Services.

The main goal of virtualization is to provide a new operational environment, which is not bound to any computer hardware or operating system. Hardware components are typically designed to be robust and reliable, but they can also be expensive and difficult to modify or upgrade. Separating hardware from software allows for the software to be updated or modified without affecting the hardware.

Gartner's Emerging Technologies and Trends Impact Radar shows IT leaders where to capitalize on market opportunities. Its latest feature for 2023 points to EDGE AI as the next breakthrough technology. With the growing demand for real-time AI solutions and the need for decentralized data processing, AI at the Edge has been positioned as a critical technology this year.

Companies are increasingly interested in virtualizing electrical equipment because it offers a range of benefits for their operations. Firstly, virtualization reduces the need for physical infrastructure, which can result in cost savings, reduced maintenance requirements, and increased safety. In this article, we talk about the benefits of separating hardware and software in Substations.

Supported by the Basque Energy Cluster and Innovasturias, the I+CCM project that stands for "Intelligent Engine Control Centre" aims to develop a solution to equip the switchboards that make up an electrical system with intelligence and interaction capacity via Industrial IoT.

This year, STL Partners asked companies to provide more information on their financial milestones associated with edge computing, as well as for details on the practicalities of edge applications that they are enabling. By doing so, the firm was able to chart the increase in maturity of edge offerings, with more companies seeing significant revenue streams coming from their edge portfolio.

The monitoring and operation processes of a water network have traditionally been carried out using sensors and SCADAs, but they are largely operator-dependent. Given the criticality and the volumes of data handled, infrastructure managers are now running advanced algorithms at the edge. In this article, we explore the real case of deploying Machine Learning at the Edge to optimise chemical control processes in real time.

To operate more efficiently, water management operators face the challenge to monitor in a unified and comprehensive way all components that make up the OT and industrial automation architectures. The use of Edge Nodes allows connectivity with different equipment in each installation regardless of the various data reporting equipment. Discover how utility companies can access sophisticated intelligence to support water operators using Edge Computing.