There certainly is no shortage of interest in applying AI to distributed energy operations. Battery storage operators want predictive analytics at the cell level. Renewable fleet managers want optimization recommendations across hundreds of sites. Grid operators want faster fault diagnostics closer to the asset. The ambition is real, and the use cases are sound.But ambition […]
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Edge AI enables energy companies to monitor aging brownfield infrastructure by processing sensor data locally, replacing the diagnostic expertise lost as experienced engineers retire. At IIoT World Energy Day, panelists from TDK SensEI, HiveMQ, PrivacyChain, and ARC Advisory Group outlined the operational frameworks required to deploy Edge AI for maintaining infrastructure uptime, covering prescriptive analytics, […]
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The data challenge facing energy operations todayPower grids, renewable energy sites, battery storage facilities, substations, and smart meter networks generate millions of time-stamped data points every second. This telemetry from sensors, SCADA systems, and field devices is the foundation for real-time monitoring, predictive maintenance, and grid stability. Without the right data infrastructure, none of it […]
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The energy landscape is undergoing a significant transformation, driven by the need for more sustainable, reliable, and affordable energy solutions. As we move towards a decentralized and digitized energy system, the role of grid-edge communication becomes increasingly critical. This article explores the challenges and opportunities in transforming grid-edge communication to support the evolving needs of […]
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