ON-DEMAND WEBINAR

AI in the Utility of the Future: The UtilityAI Platform - A GTM and Bidgely Webinar

Imagine if you could hire a team member who knows everything there is to know about your customers -- their energy habits, preferences, demographics, history of interactions with your utility, and more. Beyond just understanding your customers at the deepest possible level, consider the possibilities if that team member could also quickly analyze how those customer insights impact utility operations organization-wide, including program participation, infrastructure operations and revenue generation. You’d want that team member to take part in every conversation and meeting in the company.

In this webinar you’ll learn how that additional bench strength is available today to help drive your business forward and make an immediate, meaningful and measurable impact on every aspect of your utility operations: UtilityAI. UtilityAI embodies the artificial intelligence made possible by millions of data points collected via gas and electric AMI and non-smart meters.The result is a utility asset with infinite capability to understand, design, relate, forecast and future-proof operations. We’ll be going through real customer examples of AI in practice from:

Data Science
Customer Satisfaction
Digital Engagement
DSM Program Design
Grid Planning
EV Analytics

EnerGPT: Generative AI for Enhanced Customer Experience

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INFO SHEET

Confidently plan grid optimization that accounts for DER adoption and demand-side shocks.

Bottom-Up Grid Planning Through Behind-the-Meter DER Intelligence

DER adoption and electrification are accelerating faster than traditional planning tools can keep up. This info sheet shows how bottom-up disaggregation gives planners true visibility into appliances, DERs, and load shapes—unlocking more precise NWAs and cost savings.

8760 DER View

Understand adoption and usage hour by hour, from EVs and solar to HVAC and beyond.

Asset-Level Clarity

Forecast feeder, substation, and transformer capacity with precision.

Actionable NWA Analysis

Overlay DER flexibility with stressed assets to maximize cost-effective alternatives.

Stay Ahead with Expert Insights

Bidgely’s thought leadership content delivers the latest industry insights, proven strategies, and emerging trends that energy professionals rely on to drive innovation and achieve results. Join thousands of utility leaders who turn to our expert analysis to navigate the evolving energy landscape and accelerate their success.

TERMS

PRIVACY

EnerGPT: Generative AI for Advanced Utility Analytics

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Whitepaper

Learn how granular visibility enables 8760 load curves for every customer and grid asset.

Ev Intelligence Technical Brief: Unlocking Smart Meter Data To Uncover EVs And Understand Their Impact On Your Grid

EV adoption is rising fast—but many remain invisible to utilities. This technical brief details how Bidgely’s patented AI detects EVs from smart meter data with 98% accuracy, differentiating charger types and mapping load impact in real time.

True Disaggregation

Separate EV charging signals from HVAC, water heating, and other large loads.

Charger-Level Insights

Identify Level 1, 2, and 3 charging patterns to forecast demand accurately.

8760 EV Load Curves

Build hourly EV load profiles for customers and assets to support planning and engagement.

Stay Ahead with Expert Insights

TERMS

PRIVACY

UtilityAI ROI: Avista's Investment in Data Analytics as a Use Case Generator

Want to learn what Bidgely's AI can do for you? Schedule time with our team by clicking the button below.

WEBINAR ON-DEMAND

Nova Scotia Power:

Using AI to Optimize TOU Load Shaping

In this webinar, Lead Data Scientist Riley Cook shared how AMI data supports sustainability, citing major cuts in carbon emissions and coal use since 2005, and targets for 100% renewable electricity by 2030.

Riley discussed using AWB’s methods for EV detection, validation, and integrating EV data into load forecasting. Cook also covered heat pump and heating classification models that aid in load prediction and revenue recovery, noting an 82% match between Nova Scotia Power’s and AWB’s models. He highlighted the effects of critical peak pricing on load shifts and strategies for managing electrified loads. The session ended with future plans for predictive modeling and advanced machine learning in demand response, followed by a Q&A.