Optimum Energy, LLC

Coupang, Corporation

Thomas Berry Jones

Ian Robert Dempster

Clark Matthys

Peng Chen

Nishant Agrawal

Emily Xiaoyun Hua

Systems and method are provided for AI-based product recommendation generation. One method includes, predicting, using a model, a plurality of recommended products, by determining a time span associated with a user identifier; retrieving at least one query submitted by a user associated with the user identifier during the time span; extracting attributes; determining a product category based on the extracted attributes; generating a list of products based on the determined product category; generating a list of recommended products based on the generated list of products; and modifying a user interface element associated with a webpage to include the generated list of recommended products.

Computerized systems and methods for using artificial intelligence to generate product recommendations

Systems and methods for sequencing HVAC equipment of an HVAC system using data recorded in situ to build a model capable of making predictions about equipment efficiency and using that information, in combination with predictions about building load, to produce an operational sequence for the HVAC equipment that promotes an improved or optimized overall energy efficiency for the HVAC system. In one embodiment, the process is automated and utilizes Bayesian computational models or algorithms to generate an initial sequence. The process reduces engineering hours and may advantageously provide a means to predict potential sequencing problems for similar types of HVAC equipment.

Intelligent equipment sequencing

Systems and methods for sequencing HVAC equipment of an HVAC system using data recorded in situ to build a model capable of making predictions about equipment efficiency and using that information, in combination with predictions about building load, to produce an operational sequence for the HVAC equipment that promotes an improved or optimized overall energy efficiency for the HVAC system. In one embodiment, the process is automated and utilizes Bayesian computational models or algorithms to generate are initial sequence. The process reduces engineering hours and may advantageously provide a means to predict potential sequencing problems for similar types of HVAC equipment.

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Seattle, WA, United States of America

Thomas Berry Jones