AI Energy Management in Smart Manufacturing
Manufacturers competing on ESG performance are replacing manual utility tracking with AI-driven systems that connect energy data to operations in real time. The results are measurable: one automotive manufacturer cut energy usage by over 20%, saving…
Real-Time Isn’t a Feature. It’s a Requirement in Modern Energy Systems
There was a time when “real-time” in energy operations meant something measured in minutes. A SCADA poll every few seconds. A historian recording values at fixed intervals. An operator watching a dashboard and making a call…
Why 80% of Power Generation Runs at the Edge
Close to 80% of power generation deployments in ABB’s global electrification and power install base run on-premise at the edge. That figure, shared by Cody Falcon of ABB Energy Industries during IIoT World Energy Day 2026,…
Scaling AI at the Energy Edge: Why Pilots Succeed and Deployments Stall
I’ve been involved in distributed and embedded computing for about 30 years now, and one of the things I see again and again in the energy sector is how a successful AI pilot fails to become…
3 Things a DER Fleet Needs Before Edge AI Works
At an IIoT World Energy Day 2026 panel on scalable edge solutions for modern grids, Andrew Foster of IOTech Systems, Cody Falcon of ABB, Brenna Wood of EDF Power Solutions North America, and Janko Isidorovic of…
Deploying AI at the Energy Edge Is the Easy Part. Governing It Is the Hard Part.
The energy sector has made real progress in deploying AI closer to operations. Battery storage operators are running predictive models at the site level. Renewable fleet managers are using AI to accelerate troubleshooting and optimize asset…
Managing Battery Storage Data from Cell Level to Fleet
A battery cell is roughly the size of a cell phone. A battery enclosure is the size of a shipping container. A single site can have thousands of those containers, and for each individual cell inside,…
What “AI-Ready” Actually Means for Distributed Energy Systems
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…
Implementing Edge AI for Asset Health Monitoring in Energy Infrastructure
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…
How One Utility Secured 650,000 Power Connections
IIoT World covers OT cybersecurity for energy infrastructure, including removable media risks, air gap strategies, and ICS security frameworks for renewable energy operators. With estimated cybercrime costs reaching $10.5 trillion between 2020 and 2025, the energy…