Violeta Chalakova/123RF

AI In Energy Use Case #4: Bright Power

  • 7 July 2019
  • Sam Mire

This interview is part of our new AI in Energy series, where we interview the world's top thought leaders on the front lines of the intersections between AI and energy.

In this interview, we speak with Guillaume Marceau, Director of Software Development at Bright Power, to understand how his company is using AI to transform energy, and what the future of the energy industry holds.

1. What's the story behind your company? Why and how did you begin? 

GM: Bright Power started in 2004 by connecting the benefits of investing in solar and energy efficiency together. Then we simplified the process of making and evaluating investment decisions through the creation of a simple but rigorous analytics platform, EnergyScoreCards. We developed deep engineering expertise in how to make buildings better for occupants while lowering energy usage, both for existing buildings and new construction. We learned about all the rebates, tax credits and other financial incentives that improve the financial returns of our solutions. And when we realized that our customers didn’t just want advice, they wanted action, we built a full turnkey construction operation to implement the solutions we recommend. Finally, since energy waste creeps back if no one is watching, we created an energy management service, MoBIUS®, that brings our energy savings and troubleshooting expertise to operations teams.

2. Please describe your use case and how your company uses artificial intelligence:

GM: We use artificial intelligence to quickly analyze building and portfolio energy and water consumption and costs. We've followed years' worth of energy and water improvements, which informs our analysis in projecting cost and consumption savings. This guides where the best interventions might be. While energy and water experts may hold this information, AI helps the experts scale the information, allowing them to make quick decisions. It is much better to train artificial intelligence on the data and have the model make the prediction instead. Which is what we do on the software team at Bright Power.

3. Could you share a specific customer/user that benefits from what you offer? What has your service done for them?

GM: Thanks to the automation provided by artificial intelligence, we can analyze whole portfolios in a single pass. In a few seconds, we can give a building owner a bird's eye view of where all their energy- and money-savings might be. We have many client examples, but the one that comes to mind is Mercy Housing, which utilizes Affordable Community Energy Services Company (ACE)'s innovative “Pay from Savings” financing model to complete efficiency improvements when they are needed most, rather than waiting for refinancing or taking out a secondary loan. As Mercy Housing’s energy and water management partner, Bright Power used the data from EnergyScoreCards, our cloud-based energy analysis platform, to discover areas of underperformance and to determine which properties had high-impact opportunities for improvement. Bright Power then completed energy audits at select properties and turnkey installed efficiency improvements.

About Sam Mire

Sam is a Market Research Analyst at Disruptor Daily. He's a trained journalist with experience in the field of disruptive technology. He’s versed in the impact that blockchain technology is having on industries of today, from healthcare to cannabis. He’s written extensively on the individuals and companies shaping the future of tech, working directly with many of them to advance their vision. Sam is known for writing work that brings value to industry professionals and the generally curious – as well as an occasional smile to the face.