A systematic review of multi-output prediction model for indoor environment and heating, ventilation, and air conditioning energy consumption in buildings

K Jiang, T Shi, H Yu, N Mahyuddin… - Indoor and Built …, 2024 - journals.sagepub.com
Heating, ventilation and air conditioning (HVAC) systems could significantly impact indoor
environmental quality, particularly in terms of thermal comfort and indoor air quality …

Action-based personalized dynamic thermal demand prediction with video cameras

M Xu, Y Han, Q Liu, L Zhao - Building and Environment, 2022 - Elsevier
Real-time and accurate prediction of indoor thermal demands is of great significance for
improving building energy control and human satisfaction. This study proposes a system for …

Leaf Temperature Monitoring System Using Low-Cost Thermal Camera and IoT Technology

A Soetedjo, E Hendriarianti - 2023 Second International …, 2023 - ieeexplore.ieee.org
Leaf temperature provides valuable information about the water status of the plant. A leaf
temperature monitoring system will offer potential benefits in precision agriculture. This …

Leaf Temperature Measurement Using Low-Resolution Thermal Camera Based on Thresholding and Clustering Techniques

A Soetedjo, E Hendriarianti - CommIT (Communication and …, 2024 - journal.binus.ac.id
Leaf temperature can indicate photosynthetic rates, leaf water status, and stomata
conductance. Leaf temperature can be measured using thermal resistance sensors …

Methodology to Select Machine Learning Algorithms in Occupant-Centred Control Studies

TL Bilésimo, LAB Macarini, DA Custódio… - Available at SSRN … - papers.ssrn.com
Abstract Machine learning has been used in the building context in order to identify
preferences and provide comfortable environments to users. The selection of the algorithms …