In this 2-minute video, Bidgely's Pauline Marcou explains how personalization can help utilities maximize the impact of both opt-in and opt-out Time-of-Use (TOU) rates.
Both options can be very successful. The key to both, though, is to provide customers with energy insights and help them transition to the new type of rate.
In an opt-in model, for example, customers need a little nudge. They need to understand the key benefits of that rate and why they should switch. These advantages need to be laid out in very clear, relevant and personalized messaging.
When you look at an opt-out model, on the other hand, providing customers with insights and energy intelligence reduces the chance that they opt-out of the rate. It is very important to help them understand how their usage is impacting their energy costs on the new rate, as well as how adjusting their usage of specific appliances could cost them less.
Energy intelligence and appliance level insights help maximize customer participation in TOU rates, whether the program is opt-in or opt-out.
Generative AI-based GPT is opening up a future in which utility customers can interact with data in very natural ways. For example, if a customer asks "Why did my energy bill go up?" GPT can interact with the data on the back end and reply with the reason for the increase. Alternatively, an operations manager could ask "Who are the people who have solar and EV in my territory?" GPT's creativity could unlock so many different use cases in the utility industry.
Hear more in this brief interview with Bidgely Chief of Staff and Innovation Advisor Shriram Ramanathan.
The regional events that make up the EmPOWER AI Insights Tour are designed for high impact and convenience. Inspired by the EmPOWER annual event, the Insights Tour zeroes in on regional thought leadership and real-world applications across three key pillars: customer engagement, grid planning, and load shifting.
Hear insights and reflections from our Toronto tour stop in this short video.
The presence of new distributed energy resources like solar, batteries and electric vehicles has the same impact on DSM programs as they have on grid planning. The focus of DSM programs used to be primarily energy efficiency, with an average energy saving goal of 2%. However now, as consumers install solar on their roof and become producers of their own energy, energy savings may no longer be a motivating factor. The DSM paradigm will shift from reducing consumption to flexible demand and influencing when consumers use energy.
Bidgely’s CEO, Abhay Gupta, shares more in this 1-minute video.
In order to achieve decarbonization and align clean generation with demand requirements, every customer requires unique and hyper-personalized interactions with their energy provider.
In this video, VP Strategy and Growth, Jeff Wahl, explains how to integrate customers in utility decarbonization efforts. Check out the 2-min video.
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Key Takeaways Brief
In the early days of EV adoption, DMV data served as a popular way for utilities to get insights about how many of their customers were EV drivers. But because DMV data quickly grows stale, it has become unreliable as adoption rates increase. Its lack of granularity also fails to provide the customer-level driver data that utilities really need for successful EV programs. The other common EV data source is telematics, in which data is harnessed from the vehicles themselves. This is a powerful data source, but because drivers have to opt-in to provide their data, the number of telematics data points is very limited. In this 1-minute video, hear from Maria Kretzing, Director of Innovation at Bidgely, about how smart meter analytics provide the broadest and most granular data set available to equip utilities with the higher value insights they need to target and engage with individual EV drivers in a meaningful and personalized way.
Knowing that no two customers are the same, utilities have to avoid the trap of playing whack-a-mole by offering undifferentiated programs and hoping for effective outcomes. Driving meaningful programmatic ROI requires knowing the load and appliance use of each household, and achieving this is more accessible than one might think.
In this video, Chief Revenue Officer of Bidgely, Gautam Aggarwal, discusses how to think big, start small, and scale fast to achieve stronger results.
Heat pumps are an important part of the electrification story because heating and cooling is such a large load on the grid.
Most utilities have targets to put a certain number of heat pumps in the field, but they're all struggling because the economic story doesn't work for consumers that easily. If I have a fully working heating or cooling system, the motivation for me to go replace that with a heat pump is very low.
Identifying customers with inefficient systems, who would benefit fastest in terms of return on investment, is going to accelerate heat pump adoption.
Bidgely's CEO and Cofounder Abhay Gupta explains how technology can help accelerate heat pump replacement with a clear financial ROI equation for consumers.
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Key Takeaways Brief
