[HTML][HTML] A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment

W Zhang, Y Wu, JK Calautit - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
The occupants' presence, activities, and behaviour can significantly impact the building's
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …

Exploring the use phase social impacts of smart heating, ventilation and air conditioning control systems: A sco** review

P Gobinath, M Traverso, RH Crawford - The International Journal of Life …, 2024 - Springer
Purpose The environmental and economic benefits of applying smart approaches for the
control of heating, ventilation and air conditioning (HVAC) systems in buildings have been …

escifi: an energy saving mechanism for wlans based on machine learning

GH Apostolo, F Bernardini, LCS Magalhães… - Energies, 2022 - mdpi.com
As wireless local area networks grow in size to provide access to users, power consumption
becomes an important issue. Power savings in a large-scale Wi-Fi network, with low impact …

An Efficient Strategy with High Availability for Dynamic Provisioning of Access Points in Large-Scale Wireless Networks

MBA Rodrigues, ACR Mendes… - 2022 5th Conference …, 2022 - ieeexplore.ieee.org
The dynamical users' association with wireless access points and the requirement for
maximum network coverage foster the challenge of providing energy efficiency alongside …

Estratégia Eficiente com Alta Disponibilidade para Provisionamento Dinâmico de Pontos de Acesso em Redes sem Fio de Grande Escala

MBA Rodrigues, ACR Mendes… - Simpósio Brasileiro de …, 2021 - sol.sbc.org.br
A associação dinâmica de usuários a pontos de acesso e o requisito de cobertura de ampla
área tornam desafiador garantir a disponibilidade associada à eficiência energética em …