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Research, video, writing, and press from PingThings and the people we work with. Press & speaking
Headlines
PingThings and Dominion Energy Launch Five-Year Alliance to Redefine the Grid Data Historian
PingThings and Dominion Energy launched a five-year Technology Acceleration Alliance to redefine what utilities should expect from a grid data historian.
PingThings Read the release →
Before AI Can Learn, the Grid Must Be Configured to Remember: Part 1
Generative AI was trained on decades of data the digital world recorded by accident. The grid has no such record, and Physical AI will only learn from the sensor data utilities choose to keep.
Sean Patrick Murphy · Power Systems Technology Read the article →
44:50
Seeing the Grid in Motion: Synchrophasors and Data | Grid Mod Pod Ep. 94 with Kevin Jones, Dominion
On AEIC's Grid Mod Pod, Dr. Elizabeth Cook talks with Kevin Jones, Director of Electric Transmission Strategic Initiatives at Dominion Energy, about why synchrophasor data is the leap from a photograph to a moving picture of the grid. Kevin explains why Dominion chose to collect data first and optimize for the cost of experimentation, traces the path from a small PingThings pilot to root cause on grid events in hours, and announces a new partnership with PingThings for the first time.
AEIC Grid Mod Pod Watch →Dominion Energy and PingThings Harness AI and Electric Grid Data to Prevent Power Outages
Dominion Energy and PingThings announced the Technology Acceleration Alliance, which applies AI to sensor data from across the grid to identify failing equipment and anticipate outages before they happen.
PingThings Read the release →
39:56
Stop Deleting Your Data: Physical AI and the Grid | Grid Mod Pod Ep. 92 with Sean Murphy
The grid is already covered in sensors. Most of their data never leaves the substation, and much of what does is deleted within a week. On AEIC's Grid Mod Pod, Dr. Elizabeth Cook talks with PingThings CEO Sean Murphy about why the fastest threats to the grid, from inverter-based oscillations to data center load trips to wildfire-starting faults, stay invisible at SCADA speeds. They cover why utilities struggle to justify keeping high-resolution data and how vendor silos make it worse.
AEIC Grid Mod Pod Watch →Research
Utility paperJul 19, 2026
Discerning Real-World Data Center Load Behavior and the Need for Long Term Data Analysis
2026 IEEE Power & Energy Society General Meeting (PESGM)
Mishra et al.Abstract
Utility paperMar 25, 2026
Irregular Wind Power Plant Dynamics Induced by Power Factor Command Truncation
2026 IEEE Green Technologies Conference (GreenTech)
Pudasaini et al.Abstract
Utility paperJan 6, 2026
Inferring PV Plant Reactive Power Control Mode from Ambient PMU Data
Proceedings of the 59th Hawaii International Conference on System Sciences (HICSS-59)
Mishra et al.Abstract
Utility paperSep 1, 2025
Understanding the Inception of 14.7 Hz Oscillations Emerging from a Data Center
Sustainable Energy, Grids and Networks, vol. 43
Mishra et al.Abstract
Utility paperJul 27, 2025
Dynamic Performance Analysis of an Inverter-Based PV Plant during Sunrises and Sunsets through Synchrophasors
2025 IEEE Power & Energy Society General Meeting (PESGM)
Pudasaini et al.Abstract
Utility paperMar 1, 2024
Analyzing a Non-Sinusoidal Response from a Real-World Solar PV
IEEE Transactions on Power Systems, vol. 39, no. 2
Mishra et al.Abstract
Utility paperJan 3, 2024
Analysis of Generator Forced Oscillations During MOD 25 Testing Exploiting Wavelets
Proceedings of the 57th Hawaii International Conference on System Sciences (HICSS-57)
Mishra et al.Abstract
Utility paperApr 10, 2023
Tracking Periodic Voltage Sags via Synchrophasor Data in a Geographically Bounded Service Territory
2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge)
Xu et al.Abstract
PaperNov 7, 2022
Cloud-Hosted Data Platform for Distribution Synchrophasor and Waveform Sensors to Drive Analytics and Applications
CIGRE US National Committee, 2022 Grid of the Future Symposium
Pandey et al.Full text
PaperNov 7, 2022
Building a National Infrastructure for Artificial Intelligence on the Grid
CIGRE US National Committee, 2022 Grid of the Future Symposium
DUNN et al.Full text
Utility paperApr 24, 2022
Analysis of STATCOM Oscillations using Ambient Synchrophasor Data in Dominion Energy
2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
Mishra et al.Abstract
Utility paperNov 3, 2019
Zero to One: A Utility Playbook for (Finally) Delivering Sustainable Value from Your Synchrophasor Data by Enabling Easy Data Exploration and Rapid Use Case Prototyping
CIGRE US National Committee, 2019 Grid of the Future Symposium
JonesFull text
PaperNov 3, 2019
Who Monitors the Monitors? Automated, Hierarchical Data Quality Assessment for Time Synchronized Measurements
CIGRE US National Committee, 2019 Grid of the Future Symposium
Bengfort et al.Full text
PaperNov 3, 2019
A National Infrastructure for Artificial Intelligence on the Grid
CIGRE US National Committee, 2019 Grid of the Future Symposium
Murphy et al.Full text
PaperOct 28, 2018
Analytics at Warp Speed – From Prototypes to Production
CIGRE US National Committee, 2018 Grid of the Future Symposium
Bariya et al.Full text
PaperOct 28, 2018
A Universal Sensor Analytics and Artificial Intelligence Platform for the Grid
CIGRE US National Committee, 2018 Grid of the Future Symposium
Murphy et al.Full text
PaperOct 23, 2017
Learning from Data: Fixing the Analytics Pipeline to Increase the Rate of Grid Evolution
CIGRE US National Committee, 2017 Grid of the Future Symposium
Murphy, JonesFull text
PaperOct 23, 2017
Fusing Model-Driven and Data-Driven Approaches for GMD Mitigation
CIGRE US National Committee, 2017 Grid of the Future Symposium
Murphy et al.Full text
PaperOct 30, 2016
Unlocking the Value of PMU Data for Electric Utilities
CIGRE US National Committee, 2016 Grid of the Future Symposium
Murphy, SchumanFull text
PaperOct 11, 2015
From Deterministic Machine to Probabilistic System
CIGRE US National Committee, 2015 Grid of the Future Symposium
Murphy et al.Full textVideo & podcasts
44:50
Seeing the Grid in Motion: Synchrophasors and Data | Grid Mod Pod Ep. 94 with Kevin Jones, Dominion
On AEIC's Grid Mod Pod, Dr. Elizabeth Cook talks with Kevin Jones, Director of Electric Transmission Strategic Initiatives at Dominion Energy, about why synchrophasor data is the leap from a photograph to a moving picture of the grid. Kevin explains why Dominion chose to collect data first and optimize for the cost of experimentation, traces the path from a small PingThings pilot to root cause on grid events in hours, and announces a new partnership with PingThings for the first time.
AEIC Grid Mod Pod Watch →39:56
Stop Deleting Your Data: Physical AI and the Grid | Grid Mod Pod Ep. 92 with Sean Murphy
The grid is already covered in sensors. Most of their data never leaves the substation, and much of what does is deleted within a week. On AEIC's Grid Mod Pod, Dr. Elizabeth Cook talks with PingThings CEO Sean Murphy about why the fastest threats to the grid, from inverter-based oscillations to data center load trips to wildfire-starting faults, stay invisible at SCADA speeds. They cover why utilities struggle to justify keeping high-resolution data and how vendor silos make it worse.
AEIC Grid Mod Pod Watch →
38:44
Piloting the Future: Building the Grid's Engineering Data Foundation with Sean Murphy
Data centers, inverter-based resources, electrification, and AI are raising engineering questions faster than utility architectures were built to answer. On Innovation Force's Piloting the Future, Kim Getgen and Lee Krevat talk with PingThings CEO Sean Murphy about why the next challenge is not collecting more data. It is building a common, vendor-agnostic engineering foundation. They discuss how data silos slow innovation, why engineers need immediate access to trustworthy operational evidence, and why utilities should treat grid data as an enduring asset. No one knows what the grid's biggest problem will be in five years.
Innovation Force Watch →
0:30
PingThings, 30-second overview
A 30-second introduction to PingThings and PredictiveGrid, the data platform for high-resolution sensor data from physical systems.
PingThings Watch →Articles
Press releases
PingThings and Dominion Energy Launch Five-Year Alliance to Redefine the Grid Data Historian
PingThings and Dominion Energy launched a five-year Technology Acceleration Alliance to redefine what utilities should expect from a grid data historian.
PingThings Read the release →Dominion Energy and PingThings Harness AI and Electric Grid Data to Prevent Power Outages
Dominion Energy and PingThings announced the Technology Acceleration Alliance, which applies AI to sensor data from across the grid to identify failing equipment and anticipate outages before they happen.
PingThings Read the release →Press inquiries
For interviews, statements, logos, and executive bios, get in touch and we’ll respond quickly.
Speaking
Sean Murphy and the PingThings team speak on grid data, high-resolution sensing, and the data foundation for physical AI.
Recent: AEIC Grid Mod Pod · Innovation Force