Study of the data augmentation approach for building energy prediction beyond historical scenarios

HIGHLIGHTS

  • who: Haizhou Fang and colleagues from the School of Mechanical Engineering, Tongji University, Shanghai, China have published the Article: Study of the Data Augmentation Approach for Building Energy Prediction beyond Historical Scenarios, in the Journal: Buildings 2023, 13, x FOR PEER REVIEW of 24/08/2018
  • what: In this study energy consumption projections are examined outside of boundary including three occupancy behavior data (HVAC system lighting and equipment) and three operating future (Scenario 1: utilization rate is highest simultaneously; Scenario 2: energy-saving lighting renovation; Scenario 3: the number of people working is decreased). The . . .

     

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