Power quality engineers don’t lack data—they lack time. Discover how a standards-driven, AI-assisted workflow with Merlin™ delivers “eyes-on everything” PQ analysis, turning overwhelming waveforms into prioritized, auditable insights grounded in IEEE and ANSI standards.
January 21, 2026
7:00 PM UTC
1 hour
Sponsored by
January 21st, 2026 Time: 2:00 PM ET | 1:00 PM CT | 11:00 AM PT Duration: 60 minutes Already registered? Click here to login now.
Summary
Modern power quality work is increasingly constrained by time and attention, not by a lack of data. This webinar presents a standards-driven, educational approach to using Merlin™ as an AI-based interpretive layer on top of deterministic power quality measurements. Merlin™ reviews every waveform and stripchart, prioritizes what matters, and delivers a consistent first-pass PQ assessment grounded in IEEE and ANSI standards—helping engineers move faster while keeping “eyes on” every measurement.
Attendees will learn how to:
Use a deterministic-first workflow, where code performs measurements and standards checks while Merlin adds triage, correlation, and explanation.
Apply IEEE and ANSI PQ standards as the shared language for compliance, attribution, and investigation—supported, not replaced, by AI.
Achieve true “eyes-on everything” review by automatically scanning and ranking all PQ data instead of sampling or manual hunting.
Turn dense PQ recordings into clear, auditable narratives that let engineers focus on solving PQ problems rather than searching raw data.
Speaker
Chris Mullins
President
Power Monitors, Inc.
Chris leads a company devoted to leading-edge product development to meet the needs of electric utilities and electricity end-users. His over 30 years at Power Monitors have provided him a deep background in electric power quality, power line communications, and electronic instrumentation design, and his work has resulted in patents in power line communications techniques, power quality instrumentation, and energy monitoring. Chris is an active member of many IEEE standards groups, and has authored over 70 white papers on many power quality topics. He holds a BS degree in Electrical Engineering from the University of Virginia.
