Related references
Note: Only part of the references are listed.Impact of climate change on energy saving potentials of natural ventilation and ceiling fans in mixed-mode buildings
Keivan Bamdad et al.
BUILDING AND ENVIRONMENT (2022)
Investigation of airborne particle exposure in an office with mixing and displacement ventilation
Sumei Liu et al.
SUSTAINABLE CITIES AND SOCIETY (2022)
Impact of occupant related data on identification and model predictive control for buildings
Sicheng Zhan et al.
APPLIED ENERGY (2022)
A practical deep reinforcement learning framework for multivariate occupant-centric control in buildings
Yue Lei et al.
APPLIED ENERGY (2022)
Deep learning and physics-based modeling for the optimization of ice-based thermal energy systems in cooling plants
Lizhi Jia et al.
APPLIED ENERGY (2022)
A machine learning-based control strategy for improved performance of HVAC systems in providing large capacity of frequency regulation service
Huilong Wang et al.
APPLIED ENERGY (2022)
Deep learning and physics-based modeling for the optimization of ice-based thermal energy systems in cooling plants
Lizhi Jia et al.
APPLIED ENERGY (2022)
Impact of occupant related data on identification and model predictive control for buildings
Sicheng Zhan et al.
APPLIED ENERGY (2022)
Is mixed-mode ventilation a comfortable low-energy solution? A literature review
Jungsoo Kim et al.
BUILDING AND ENVIRONMENT (2021)
Explainable AI for Chiller Fault-Detection Systems: Gaining Human Trust
Seshadhri Srinivasan et al.
COMPUTER (2021)
Cooling energy savings and occupant feedback in a two year retrofit evaluation of 99 automated ceiling fans staged with air conditioning
Dana Miller et al.
ENERGY AND BUILDINGS (2021)
Transfer learning with deep neural networks for model predictive control of HVAC and natural ventilation in smart buildings
Yujiao Chen et al.
JOURNAL OF CLEANER PRODUCTION (2020)
Reinforcement learning for building controls: The opportunities and challenges
Zhe Wang et al.
APPLIED ENERGY (2020)
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
Alejandro Barredo Arrieta et al.
INFORMATION FUSION (2020)
Dynamic forecast of cooling load and energy saving potential based on Ensemble Kalman Filter for an institutional high-rise building with hybrid ventilation
Danlin Hou et al.
BUILDING SIMULATION (2020)
Thermal comfort and energy performance of a dedicated outdoor air system with ceiling fans in hot and humid climate
Kuniaki Mihara et al.
ENERGY AND BUILDINGS (2019)
Whole building energy model for HVAC optimal control: A practical framework based on deep reinforcement learning
Zhiang Zhang et al.
ENERGY AND BUILDINGS (2019)
Thermal comfort in a mixed-mode building: Are occupants more adaptive?
Jungsoo Kim et al.
ENERGY AND BUILDINGS (2019)
Development and evaluation of a comfort-oriented control strategy for thermal management of mixed-mode ventilated buildings
Massimo Fiorentini et al.
ENERGY AND BUILDINGS (2019)
Energy-Efficient Scheduling for Real-Time Systems Based on Deep Q-Learning Mode
Qingchen Zhang et al.
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING (2019)
Mixed-mode ventilation and air conditioning as alternative for energy savings: a case study in Beirut current and future climate
Jessica Daaboul et al.
ENERGY EFFICIENCY (2018)
Optimal control of HVAC and window systems for natural ventilation through reinforcement learning
Yujiao Chen et al.
ENERGY AND BUILDINGS (2018)
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
Amina Adadi et al.
IEEE ACCESS (2018)
Investigating natural ventilation potentials across the globe: Regional and climatic variations
Yujiao Chen et al.
BUILDING AND ENVIRONMENT (2017)
From simulation to monitoring: Evaluating the potential of mixed-mode ventilation (MMV) systems for integrating natural ventilation in office buildings through a comprehensive literature review
Juan C. Salcido et al.
ENERGY AND BUILDINGS (2016)
Evaluating thermal comfort in mixed-mode buildings: A field study in a subtropical climate
Maohui Luo et al.
BUILDING AND ENVIRONMENT (2015)
Window operation and impacts on building energy consumption
Liping Wang et al.
ENERGY AND BUILDINGS (2015)
A state-space modeling approach and multi-level optimization algorithm for predictive control of multi-zone buildings with mixed-mode cooling
Jianjun Hu et al.
BUILDING AND ENVIRONMENT (2014)
Model predictive control strategies for buildings with mixed-mode cooling
Jianjun Hu et al.
BUILDING AND ENVIRONMENT (2014)
A semi-empirical model for studying the impact of thermal mass and cost-return analysis on mixed-mode ventilation in office buildings
Haojie Wang et al.
ENERGY AND BUILDINGS (2013)
The potential for office buildings with mixed-mode ventilation and low energy cooling systems in arid climates
Sherif Ezzeldin et al.
ENERGY AND BUILDINGS (2013)
Model-predictive control of mixed-mode buildings with rule extraction
Peter May-Ostendorp et al.
BUILDING AND ENVIRONMENT (2011)
Naturally ventilated and mixed-mode buildings-Part II: Optimal control
Henry C. Spindler et al.
BUILDING AND ENVIRONMENT (2009)
Passive cooling in a low-energy office building
H Breesch et al.
SOLAR ENERGY (2005)
Share Paper
