Historically, determining the location of an EV and its charging load has been difficult.
To solve this challenge, Bidgely uses AI and machine learning to detect EV charging signatures buried in smart meter data and extract intelligence essential to the management of EV load.
This granular visibility enables utilities to not only detect EV charging but also build 8760-hour EV-charging load curves for each customer and for each grid asset to understand the real-world impact of EVs across the grid.
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Discover how Nova Scotia Power transformed its understanding of electricity consumption using Bidgely’s Analytics Workbench platform. Nova Scotia Power’s lead data scientist Riley Cook describes the utility’s data-driven approach to define and validate how customers are using electricity, particularly when it comes to EV and heat pump adoption. With AI-driven insights they can rely upon, the utility is now better able to better design rates, forecast load, and support its operational goals across the board.
Utilities across the world are serious about accelerating the advancement of EVs, seeing it as a way to simultaneously meet customer demand and drive down carbon emissions while earning additional revenue. However, the current state and future trajectory of EVs is a more nuanced picture than big-picture commitments and investments indicate. Bidgely and Utility Dive surveyed 149 mostly North American utility professionals to get a pulse on their EV investment plans, what drives those investments and the challenges they are facing.
In this report you can read the results of this study and recommendations on how to tackle the coming electrification with EV analytics data on hand. Utilities are sitting on a wealth of data to better understand customers' electric vehicle adoption propensity and their actual energy behavior post adoption. With AI-powered data, utilities can better guide customers through the phases of energy education, awareness, engagement and control of EV assets like EV battery and automated charging.
Bidgely’s mission is to accelerate a clean energy future by enabling utilities and consumers to make data-driven energy decisions.
Guidehouse Insights has published a new AI for DER Integration global market analysis that provides an in-depth look at key industry trends, applications, market drivers, market barriers and technology considerations. Analysts included Bidgely as one of only five key industry players in the Data Analytics and SaaS space.
The company’s ability to disaggregate DER loads and communicate program offerings and other opportunities to customers enables utilities to leverage customers at scale as an asset.
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:
