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From AMI Data to Grid Operations: Building the Trust to Act on Meter Data
Utilities have generated enormous volumes of AMI data, but the real challenge is not collection — it is trust. As utilities shift from data accumulation to operational decision-making, the central question is: how do we make meter data reliable enough to support real-time grid operations? This session explores the practical path from "we collect it" to "we operate on it," with a focus on governance and validation frameworks, estimation and gap-fill processes, and the analytics foundations required to drive operational confidence.
This case study presentation directly addresses high-priority use cases including ADMS and DERMS integration, RMS voltage monitoring at the edge, and topology validation — grounding those themes in real utility experience and demonstrating how data quality and operational trust are the differentiators that determine whether AMI can truly support the grid.
Drawing on more than 15 years of utility engagements, Michael Cleveland and Seshadri Nadendla of Deloitte Consulting will open with perspectives on how utilities can move from data accumulation to operational activation — and what separates the utilities that collect AMI data from those that act on it.
Ken Beard, Information Architect at TECO, will share how TECO collects AMI data, applies estimation and gap-fill processes, and puts that data to work in daily operations through a Data Analytics Platform that consolidates multiple data sources to create visibility and value for grid operations, including ADMS, DERMS and GIS integration, RMS voltage monitoring at the edge, and topology validation.
Kerry Fast, Manager at BC Hydro, will describe how BC Hydro's analytics solution rationalized data across systems — enabling smart meter data to support theft detection, energy balancing, load forecasting, and revenue forecasting. Most notably, analytics-driven operations reduced electricity theft by more than 80%, a result that speaks directly to the value of trusted, operationalized data.
Attendees will leave with a practical, proven framework for strengthening confidence in AMI data and accelerating the journey from passive collection to trusted grid operations.
