Bidgely Named a Key Industry Player in Guidehouse Insights Report on Artificial Intelligence Solutions for Electric Vehicle Energy Management
Bidgely comprehensive EV Solution noted for AI-powered EV detection, EV load research and planning, EV customer management and EV controls capabilities
MOUNTAIN VIEW, Calif.–(BUSINESS WIRE)–Guidehouse Insights, formerly known as Navigant Research, has recognized Bidgely for its leadership in electric vehicle (EV) solutions in a new report AI for EV Energy Management. The report documents current uses of AI to improve EV hardware and services as well as market forecasts on future AI capabilities for enhancing utility grid management, charging integration, fleet management and more. Using applied AI and machine learning algorithms, Bidgely’s EV Solution equips utilities with personalized EV ownership insights to more accurately implement load shifting and grid management strategies, for example.
“We are honored to be recognized by Guidehouse Insights for our work with leading utilities’ integration of EVs within their territories,” said Gautam Aggarwal, CMO of Bidgely. “Bidgely is accelerating a clean energy future by helping utilities make data-driven decisions that deliver significant energy savings to both energy companies and consumers. These utilities turn to our patented AI solutions because they are proactively looking to maximize their role in how EVs shape peak load demands on the grid, especially in ways that simultaneously advance their electrification and decarbonization initiatives.”
According to Guidehouse Insights, the market for AI-based applications for EV energy management is expected to grow at a 28 percent compound annual growth rate over the next decade to reach $2.7 billion in 2029.
“The use of AI technology is anticipated to play an increasingly important role in enhancing the efficiency and capabilities of EVs, advancing the competitive positioning of EV OEMs, and overcoming the objections of prospective EV buyers,” says William Hughes, principal research analyst with Guidehouse Insights. “Ultimately, EV adoption should accelerate as AI makes the EV ecosystem more attractive and competitive.”
As utilities prepare for surging grid demands from EVs, the Bidgely UtilityAI™ EV Solution uses AI techniques to determine individual household energy patterns and customer preferences to future-proof the needs of its utility partners. This includes identifying EVs within homes, the specific time an EV is charged and how many kWhs were used. Additionally, utilities are empowered to hyper-personalize customer offerings that influence behavior, such as load shifting incentives and solar adoption.
To learn more about Bidgely’s EV solution go to go.bidgely.com/ev-pv-der-electrification-decarbonization.
Bidgely is an AI-powered SaaS Company accelerating a clean energy future by enabling energy companies and consumers to make data-driven energy-related decisions. Powered by our unique patented technology, Bidgely’s UtilityAI™ Platform transforms multiple dimensions of customer data – such as energy consumption, demographic, and interactions – into deeply accurate and actionable consumer energy insights. We leverage these insights to empower each customer with personalized recommendations, tailored to their individual personality and lifestyle, usage attributes, behavioral patterns, purchase propensity, and beyond. From a Distributed Energy Resources (DER) and Grid Edge perspective, whether it is smart thermostats to EV chargers, solar PVs to TOU rate designs and tariffs; UtilityAI™ energy analytics provides deep visibility into generation, consumption for better peak load shaping and grid planning, and delivers targeted recommendations for new value-added products and services. With roots in Silicon Valley, Bidgely has over 17 energy patents, $50M+ in funding, retains 30+ data scientists, and brings a passion for AI to utilities serving residential and commercial customers around the world. For more information, please visit www.bidgely.com or the Bidgely blog at bidgely.com/blog.