Bidgely is an energy intelligence company reshaping how the world interacts with energy using artificial intelligence (AI). For over a decade, Bidgely has partnered with 45+ of the world’s largest utility providers, including Ameren, Avista, Southern California Gas, PSEG Long Island, Nova Scotia Power, VSE, Sorgenia and Electric Ireland, to accelerate the clean energy future.
Bidgely’s flagship UtilityAI™ Platform applies AI-based data science to meter data in order to “disaggregate,” or split apart, a household's energy use across every hour of the day into appliance categories, such as heating, cooling, lighting, water heating, appliances that are “always on,” and even electric vehicle (EV) charging.
Within its UtilityAI platform, Bidgely provides specialized offerings to solve today’s most pressing utility initiatives, including electric vehicle management via its EV Intelligence solution.
Accurately identifying EV charging can be challenging because its power draw can mimic other household appliances like air conditioners or water heaters, hindering traditional detection methods.
Bidgely’s disaggregation of smart meter data at 15-minute intervals, however, can distinctly separate EV charging from other household appliances — delivering 98% accuracy for EV detection while also identifying critical charging patterns across time and location.
Rather than relying on consumer surveys and intrusive monitoring hardware, Bidgely is able to correctly identify the presence of Level 2 (L2) and Level 1 (L1) charger consumption by using AI to analyze data from a utility’s existing smart meter network.
Grid congestion from EV charging could rapidly become a problem since an average EV charging could more than triple the instantaneous energy demand from a household.
To alleviate grid congestion during peak times, Bidgely knew utilities needed a more accurate way to identify and engage with EV customers for new load-shifting programs that help customers save money and align charging with times in which the lowest carbon emitting generation is available.
Unlike traditional EV demand response programs that struggle with broad-scale marketing and low recruitment, Bidgely's EV Intelligence enables utilities to precisely target their marketing efforts. By accurately segmenting customers based on grid impact, specifically identifying those who charge during peak hours, utilities can prioritize engagement and avoid wasted marketing spend on off-peak chargers. This eliminates the need for expensive, untargeted campaigns and avoids unnecessary incentives.
Bidgely’s EV Intelligence also boosts load management effectiveness and efficiency. For example, while most standard load shifting programs encourage EV customers to shift charging from peak to off-peak hours, Bidgely understands if every utility implemented this same strategy a new peak would be consequently created. Instead, Bidgely’s EV Intelligence can be used to stagger charging among different customer groups to optimize supply and demand (i.e. Driver A charging from 4:00am to 8:00am, Driver B charging from 12:00am to 10:00am).
Through the integration of Generative AI (GenAI), Bidgely EV Intelligence further enables utilities to perform more rapid test simulations on their data through an intuitive interface to better understand how increases in charging demand will impact feeder/substation assets up to 10 years into the future. This scenario planning capability shows which assets are least likely to be impacted, and which are most vulnerable.
By knowing which grid assets are expected to experience the most strain and when, utilities can either defer upgrades or prioritize them only on the most critical assets, saving the utility a significant amount of money by not upgrading locations expected to have lower growth.
Bidgely's EV Intelligence is helping over a dozen global utilities effectively manage the growing EV adoption and ensure a smooth transition for both utilities and customers.
In an NV Energy trial of roughly 20,000 customers, for example, Bidgely identified 103 high-value EV owners (representing 63% of all EV charging load) for a managed charging pilot. Targeted outreach resulted in a 76% email open rate and a 21% click-through rate—significantly exceeding industry averages—and a 3X increase in peak demand reduction per car (1kW vs. the 0.2-0.3kW industry average).
As the energy grid and utility-customer relationship become more complex, utilities are seeking targeted and efficient approaches made available through EV Intelligence. Bidgely is a leader in EV analytics, partnering with dozens of U.S. utilities — including PSEG Long Island, Hydro One, Ameren, Duke Energy, Avangrid, NV Energy, and Rocky Mountain Power, to deliver cost-effective EV programs.
