Addressing data inadequacy challenges in personal comfort models by combining pretrained comfort models

T Zhang, J Gu, O Ardakanian, J Kim - Energy and Buildings, 2022 - Elsevier
Occupant thermal-comfort complaints are the biggest operational headache of facilities
managers. Many of the complaints can be attributed to the diverse nature of individuals' …

Utilisation of Machine Learning in Control Systems Based on the Preference of Office Users

TL Bilésimo, E Ghisi - Sustainability, 2024 - mdpi.com
Reducing energy consumption is vital to save natural resources and contribute to the
sustainable development in any sector of society. In the building sector, there are many well …

TSVNet: Combining time-series and opportunistic sensing by transfer learning for dynamic thermal sensation estimation

H Yoshikawa, A Uchiyama, T Higashino - IEEE Access, 2021 - ieeexplore.ieee.org
The development of sensing technologies has enabled the estimation of human thermal
sensation, which helps efficient heating, ventilation, and air conditioning control. Recently …

Data-Enabled Optimization of Building Operations

T Zhang - 2024 - era.library.ualberta.ca
Retrofitting buildings and optimizing their operation have been at the forefront of global
efforts to reduce carbon emissions over the past few decades. Intelligent control of building …

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 …

[引用][C] Estimation of Thermal Sensation Based on Machine

川寛樹 - 2022 - ir.library.osaka-u.ac.jp
A comfortable air-conditioned environment increases labor productivity and learning
efficiency. In indoor environments used by many people, such as office buildings and …