AnalyticsBudderfly Standardizes On AWS To Enhance Energy-Efficiency-as-a-Service (EEaaS) Model

Budderfly, the fastest-growing firm in the North American Energy-Efficiency-as-a-Service market, today announced the company has selected Amazon Web Services (AWS) to provide secure, cloud-based data collection and analytics services for its Budderfly EnergyCloud™ solution. AWS’ elasticity enables the company to instantly and cost-effectively scale its Budderfly EnergyCloud, a component of the company’s Energy-Efficiency-as-a-Service (EEaaS) offering, with enhanced Internet of Things (IoT) metering capabilities on circuits and devices to better isolate specific power loads and create insightful dashboard displays.

AWS forms the IoT and data backbone for the company’s Budderfly EnergyCloud that collects all power-consuming information from connected equipment at customer locations. Each connected device is equipped with a unique Budderfly IoT sensor that securely passes information to the AWS IoT cloud using AWS Greengrass and AWS FreeRTOS. AWS Greengrass allows the equipment to act in real-time on Budderfly’s data—generated by their proprietary devices—and execute predictions based on machine learning models and pre-set power circuit (load) filters. Once the data is collected in Budderfly’s data lake, it is curated on a serverless AWS Glue big data processing cluster.  The curated data is available to Amazon QuickSight to create and publish interactive Business Intelligence (BI) dashboards that can be seamlessly accessed from any device. Business insights help customers better understand and optimize their energy consumption, which in turn lowers utility costs so organizations can repurpose funds for other expenses.

“When it comes to reducing energy consumption for our customers, Budderfly is always on the hunt for best-of-breed technologies,” said Chris DeBenedictis, VP Technology, Budderfly. “These new technologies are combined with our current energy solutions to methodically pinpoint power waste, visualize the performance of equipment upgrades, and provide operational insights into energy usage.”


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