Think Energy by ENGIE Selects Grid4C as AI Machine Learning Provider to Enhance Smart Thermostat Offering

New high value offering delivered by Think Energy will leverage Grid4C’s AI machine learning insights in an advanced mobile app that will optimize smart thermostat efficiency settings, predict and detect home appliance faults, and simulate impacts to energy bills in real time

AUSTIN, Texas--()--Grid4C, recently ranked the #1 Predictive Analytics vendor by GTM Research, announced today it has been selected by ENGIE to enhance its Think Energy business’ smart thermostat offering for residential customers in competitive electricity markets. Think Energy will offer advanced machine learning insights through its own Think Energy branded app, which will give customers the ability to optimize their smart thermostat efficiency settings, be alerted to inefficiencies and faults with their home appliances, and see the impact to their energy bills in real time from any changes they make to their thermostat settings.

“Grid4C impressed us by reliably delivering the most sophisticated machine learning insights to enable valuable services in our customer programs,” said Joel Elkins, Vice President of R&D and Product Development with Think Energy. “We can now deliver more value from smart meters and smart thermostats and show customers which appliances are inefficient and faulty, as well as how they can save money on their energy bills in real time. We expect these services to improve customer loyalty and generate improved profitability for ENGIE and our Think Energy brand.”

Grid4C’s machine learning insights will be delivered to Think Energy through a Data Science as a Service model to enable the following capabilities through the app:

  • Optimize smart thermostat settings and simulate how any thermostat setting changes will impact the customer’s forecasted energy bill;
  • Alert customers when inefficient or faulty home appliances are detected for major home appliances and home envelope issues;
  • Predict and diagnose HVAC faults;
  • Present customers with energy use and costs on a monthly, daily, or hourly basis; and
  • Alert customers when deviations from their usage patterns are detected

“ENGIE is delivering unprecedented value for its customers through this offering,” said Dr. Noa Ruschin-Rimini, Founder and CEO of Grid4C. “By combining customer usage data with smart thermostat data, they can help customers optimize thermostat settings, as well as predict and detect faulty home appliances to deliver real customer value. We’re excited to partner with Think Energy to improve customer loyalty and grow profitability for their business.”

About Grid4C

Ranked #1 Predictive Analytics vendor by GTM Research, Grid4C empowers energy providers and their consumers with the power to foresee, leveraging advanced AI Machine Learning capabilities to deliver accurate, granular forecasts at the meter / device level and to predict anomalies and malfunctions, in order to maximize the operational efficiency and generate new revenue streams for energy providers. The Grid4C solutions are deployed in 4 continents, analyzing millions of smart meters / smart devices, generating billions of predictions every day.

To learn more about Grid4C, visit www.grid4c.com.

About Think Energy by ENGIE

Think Energy is a retail energy provider focusing on residential and small commercial customers. Think Energy – a business of ENGIE Resources NA, one of the largest commercial retail electricity providers in the United States – is also part of the international energy group ENGIE, which has been serving customers, large and small, for more than 175 years. For additional information, visit thinkenergy.com, or follow Think Energy on Twitter @ThinkEnergy and Facebook.com/ThinkEnergy.

Contacts

Grid4C
Dr. Noa Ruschin-Rimini
Noa.Rimini@grid4c.com
or
ENGIE
Julie Vitek
Julie.vitek@na.engie.com

Contacts

Grid4C
Dr. Noa Ruschin-Rimini
Noa.Rimini@grid4c.com
or
ENGIE
Julie Vitek
Julie.vitek@na.engie.com