Advanced controls on energy reliability, flexibility, resilience, and occupant-centric control for smart and energy-efficient buildings—a state-of-the-art review
Advanced controls have attracted increasing interests due to the high requirement on smart
and energy-efficient (SEE) buildings and decarbonization in the building industry with …
and energy-efficient (SEE) buildings and decarbonization in the building industry with …
Reinforcement learning-based intelligent control strategies for optimal power management in advanced power distribution systems: A survey
M Al-Saadi, M Al-Greer, M Short - Energies, 2023 - mdpi.com
Intelligent energy management in renewable-based power distribution applications, such as
microgrids, smart grids, smart buildings, and EV systems, is becoming increasingly important …
microgrids, smart grids, smart buildings, and EV systems, is becoming increasingly important …
Multi-agent reinforcement learning dealing with hybrid action spaces: A case study for off-grid oriented renewable building energy system
With the application of renewable energy in building energy systems (BES), an increasing
number of power grids require building energy systems coupled to realize off-grid operation …
number of power grids require building energy systems coupled to realize off-grid operation …
A systematic review of reinforcement learning application in building energy-related occupant behavior simulation
H Yu, VWY Tam, X Xu - Energy and Buildings, 2024 - Elsevier
The building and construction industry has consistently been a major contributor to energy
consumption and carbon emissions. With stochastic interactions between occupants and …
consumption and carbon emissions. With stochastic interactions between occupants and …
[HTML][HTML] Reinforcement Learning for proactive operation of residential energy systems by learning stochastic occupant behavior and fluctuating solar energy …
When it comes to residential buildings, there are several stochastic parameters, such as
renewable energy production, outdoor air conditions, and occupants' behavior, that are hard …
renewable energy production, outdoor air conditions, and occupants' behavior, that are hard …
Reinforcement learning approach for optimal control of ice-based thermal energy storage (TES) systems in commercial buildings
Ice-based thermal energy storage (TES) system is effective on load shifting and demand
response in public buildings under time-of-use (TOU) tariffs. The management and …
response in public buildings under time-of-use (TOU) tariffs. The management and …
Systematic review on deep reinforcement learning-based energy management for different building types
A Shaqour, A Hagishima - Energies, 2022 - mdpi.com
Owing to the high energy demand of buildings, which accounted for 36% of the global share
in 2020, they are one of the core targets for energy-efficiency research and regulations …
in 2020, they are one of the core targets for energy-efficiency research and regulations …
[HTML][HTML] Quantification of residential water-related energy needs cohesion, validation and global representation to unlock efficiency gains
Reduced energy consumption is essential for a rapid transition to net zero carbon
emissions. Residential energy may constitute 27% of primary energy consumption, and 20 …
emissions. Residential energy may constitute 27% of primary energy consumption, and 20 …
Energy management strategies of hybrid electric vehicles: A comparative review
With increasing environmental problems, including air pollution, rising greenhouse gases
and global warming, the need to use clean energy resources seems essential. Therefore …
and global warming, the need to use clean energy resources seems essential. Therefore …
Stakeholder-associated impact factors of building energy performance gap and their intersections: A social network analysis
X Xu, O Casasayas, J Wang, P Mao, P Cui - Journal of Cleaner Production, 2022 - Elsevier
The building energy performance gap is a critical obstacle to emissions reduction and
energy conservation. Previous research mainly focused on identifying the factors …
energy conservation. Previous research mainly focused on identifying the factors …