A personal touch to demand response: An occupant-centric control strategy for HVAC systems using personalized comfort models

M Meimand, F Jazizadeh - Energy and Buildings, 2024 - Elsevier
HAVC systems account for the majority of energy use in buildings. Therefore, research
efforts have been made to develop control strategies to improve energy efficiency during the …

Electricity peak shaving for commercial buildings using machine learning and vehicle to building (V2B) system

M Ghafoori, M Abdallah, S Kim - Applied Energy, 2023 - Elsevier
Reducing electricity peak demand is essential to maintain the balance between supply and
demand side in electricity power markets, as well as reduce utility costs and environmental …

TUNEOPT: An Evolutionary Reinforcement Learning HVAC Controller For Energy-Comfort Optimization Tuning

M Meimand, V Khattar, Z Yazdani… - Proceedings of the 10th …, 2023 - dl.acm.org
HVAC systems account for the majority of energy consumption in buildings. Efficient control
of HVAC systems can reduce energy consumption and enhance occupants' comfort. In the …

DATA-DRIVEN AND KNOWLEDGE-ASSISTED MODEL-BASED FRAMEWORKS FOR SUPPORTING FACILITY MAINTENANCE

M Altun - 2024 - open.metu.edu.tr
Efficient facility maintenance management enhances operational functionality while
reducing costs. In practice, however, the lack of (i) historical work order records or their …

Distributed Reinforcement Learning for Building Energy Optimization

A Javeed - 2024 - lup.lub.lu.se
Heating, ventilation, and air-conditioning (HVAC) systems are ubiquitous and are one of the
major components responsible for energy consumption in a typical building system. In light …

O impacto da ocupação no desempenho de Smart Buildings: revisão sistemática da literatura

G da Paz Moreira… - … DE TECNOLOGIA DE …, 2023 - eventos.antac.org.br
O conceito de Edifícios Inteligentes (Smart Buildings) centra-se em atender às
necessidades do usuário e otimizar, através da tecnologia, o equilíbrio entre essas e o …