Guidehouse Insights Report Highlights Grid4C’s Inside-the-Meter AI

A free report by Guidehouse Insights projects utility spending on smart meter analytics to triple over the next decade. AI at the Grid Edge: How Inside-the-Meter Analytics Drive Value at the Grid Edge estimates smart meters currently serve nearly 65% of electric utility customers across the U.S. However, the report states the full value proposition behind smart meter deployments is only starting to be realized.

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Guidehouse Insights Report Highlights Grid4C’s Inside-the-Meter AI (Photo: Business Wire)

Guidehouse Insights Report Highlights Grid4C’s Inside-the-Meter AI (Photo: Business Wire)

The newest generations of smart meters, capable of running AI-driven solutions, remove the ceiling on functional and ROI benefits. As a result, Guidehouse Insights projects investments in inside-the-meter analytics to grow at a CAGR of 13.3%. Solutions for demand-side management and energy efficiency are expected to lead global spending across the forecast period, growing from approximately $1.6 billion in 2021 to nearly $5.4 billion in 2030.

Use cases enabled by grid-edge AI include real-time anomaly and fault detection for grid operators and customers, real-time load disaggregation for load shifting and demand side management, as well as tools for detecting and integrating distributed energy resources (DERs) like residential solar and electric vehicles. According to the report, inside-the-meter architectures offer utilities new options for where, when, and how to analyze high-resolution smart meter data.

“Between the cloud and now the meters themselves, we can create the right analytical architecture for each use case, balancing bandwidth, latency, reliability, and other factors,” said Dr. Noa Ruschin-Rimini, Founder and CEO of Grid4C, an AI-powered solution provider featured in the report for being one of the first companies to embed its AI-powered energy analytics inside smart meters of the world's leading AMI vendors.

AI at the Grid Edge gives an evolutionary framework for understanding AI advancements in smart meter analytics and suggests how utilities can evaluate different analytics architectures and delivery models. The 22-page report is available as a complimentary download from Grid4C.

About Grid4C

Grid4C empowers energy providers and consumers by enabling the power to foresee, leveraging advanced Machine Learning capabilities to deliver accurate, granular predictions, which are crucial for tackling the rising challenges of today's energy industry. Grid4C's plug-and-play solutions analyze the massive amounts of sub-hourly data collected from millions of smart meters and IoT data, and together with customer data, pricing information and more, delivers new revenue streams, enhances customer value, improves the efficiency of energy operations, and maximizes profit. Its portfolio consists of Predictive Home Advisor, which includes non-intrusive household appliance fault detection and load disaggregation capabilities, Predictive Operational Analytics, enabling better decisions for coordination of DERs with meter, sub-meter, and asset-level forecasting, Predictive Customer Analytics, which predicts adoption of new rate plans and utility programs, and more.

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Noa Ruschin-Rimini

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