A novel vision-based approach for accurate equipment usage detection for energy efficiency and indoor comfort level improvement in office buildings

A novel vision-based approach for accurate equipment usage detection for energy efficiency and indoor comfort level improvement in office buildings

The aim of this study was to develop a real-time indoor equipment usage detection approach using computer vision and deep learning techniques to aid the adjustment of heating, ventilation, and air conditioning (HVAC) operations based on the actual demands in office and kitchen spaces. This could not...

Full description

Bibliographic Details
Main Author: Wei, Shuangyu
Format: Thesis (University of Nottingham only)
Language:English
Published: 2023
Subjects:
HVAC operations; Energy consumption; Thermal comfort; Equipment usage detection; Building energy performance; Deep learning
Online Access:https://eprints.nottingham.ac.uk/76665/

Similar Items

Similar Items