Bidgely’s Disaggregation-as-a-Service (DaaS) is a streamlined data service designed for seamless integration of appliance-level insights into existing utility business processes. Leveraging Bidgely’s Universal Disaggregation technology, DaaS provides utilities and solution providers with detailed, appliance-specific usage data and relevant attributes for any smart-metered residential customer. By functioning as a data exchange service, DaaS enables this valuable intelligence to flow directly into internal systems, enhancing various applications—from energy efficiency and customer engagement to demand response and load forecasting. Through DaaS, Bidgely simplifies the delivery of powerful, actionable insights, unlocking new value across the energy ecosystem.
Hear more in this brief interview with Bidgely CEO Abhay Gupta.
PNM’s Time of Day Program Manager Denine Rothman describes how achieving behavioral shifts through customer education and engagement has been an essential part of PNM’s strategy from Home Energy Reports through their Time of Day rate pilot and beyond.
In this UtilityAI™ Insights interview, NV Energy's Director of DSM Program Delivery Adam Grant highlights five principles to improve energy customer relationships, including prioritizing customer service, data analytics, trust, ongoing two-way communication and personalization.
While energy providers have historically looked at energy usage at the substation or feeder level, the ability to now analyze usage at the per home and per appliance level opens up new opportunities to design the grid and programs that are able to capture each customer's need from a production standpoint, while also meeting the utility's needs to provide safe, reliable power at an affordable price.
In this video, Vice President of Sales, Phil Flaherty, explores the power of data for smarter grid planning. Watch the 1-minute video.
Time-of-use (TOU) rates hold a lot of potential for helping electric utilities manage grid loads more effectively. But telling customers used to paying flat rates that their electricity use will now cost more or less depending on timing could easily become a confusing and frustrating change.
Customers need to be given appliance-level insights into how usage is affecting their bill, so they can make informed choices and be empowered to realize the full benefits of the time of use rate.
In this 2-minute, ungated video, Bidgely’s Pauline Marcou explains more.
Utilities have to step outside of their comfort zone to engage customers in new ways as the grid becomes increasingly variable and customer expectations continue to evolve. Building deep customer relationships takes time and a strong data strategy. Hear Bidgely CEO Abhay Gupta share his thoughts in this 1-minute video.
Can you solve this grid-management riddle?
Two homes use an average of 30 kWH per day. One is 1000 ft2 (93 m2) the other 3000 ft2 (279 m2). Why is their consumption the same?
In this 2-minute video, Bidgely VP of Strategy & Growth Jeff Wahl explains how answers to riddles like this one can have a big impact on your grid’s resiliency.
Fortunately for grid operators, it’s now possible to leverage hyper-specific consumption data about each customer to build a bottom-up, high-fidelity picture of the grid rather than relying on generalized data sets and estimations.
Time-of-Use (TOU) rates require consumers to rethink the way they use energy. So education and transparency are important in helping them understand how the new rate plans work and how to get the most value from the rate.
In this 1-minute ungated video, Bidgely Strategy & Growth Lead Pauline Marcou explains how personalized coaching on an ongoing basis can deliver TOU success.
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.
When a household decides to install rooftop solar or buy an electric car, the effect of that customer’s energy footprint on the local grid is suddenly amplified. These are big appliances.
With energy now flowing both ways, a traditional one-size-fits-all approach to forecasting is increasingly inadequate.
In this two-minute video, Bidgely Cofounder and CTO Vivek Garud shares why a bottom-up approach, using granular data at the home level and then aggregating to form a picture of the grid at the transformer and substation levels, yields a much clearer picture of what's going on.
