Machine Learning Algorithms for Fine-Scale Prediction of US Building Energy Use

Hengfang Deng

Northeastern University

Hengfang (Alex) Deng is a PhD candidate from Northeastern University working on "Machine Learning Algorithms for Fine-Scale Prediction of US Office Building Energy Use"


IntroductionWith the rapid development of data-driven computational algorithms and the growing trove of publicly available building attribute and energy data, there are now ample opportunities to apply machine learning... [ view full abstract ]


  1. Hengfang Deng (Northeastern University)
  2. Matthew Eckelman (Northeastern University)

Topic Areas

• Open source data, big data, data mining and industrial ecology , • Infrastructure systems, the built environment, and smart and connected infrastructure


MS-9 » Urban metabolism and infrastructure systems (11:45 - Monday, 26th June, Room F)

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