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References from Reinforcement learning for whole-building HVAC control and demand response. Local targets link to admitted publications; unresolved targets remain external evidence.
Transactive energy market for energy management in microgrids: the monash microgrid case study
10.3390/en13082010 · 2020 · External reference
Evaluation of reinforcement learning control for thermal energy storage systems
10.1080/10789669.2003.10391069 · 2003 · External reference
Reinforcement learning for energy conservation and comfort in buildings
10.1016/j.buildenv.2006.07.010 · 2007 · External reference
A two-layer networked learning control system using actor–critic neural network
2008 · External reference
Online tuning of a supervisory fuzzy controller for low-energy building system using reinforcement learning
10.1016/j.conengprac.2010.01.018 · 2010 · External reference
Event-based optimization with non-stationary uncertainties to save energy costs of HVAC systems in buildings
2013 · External reference
A learning agent for heat-pump thermostat control
2013 · External reference
Using reinforcement learning to optimize occupant comfort and energy usage in HVAC systems
10.3233/ais-140288 · 2014 · External reference
Energyplus model-based predictive control within design–build–operate energy information modelling infrastructure
10.1080/19401493.2014.891656 · 2015 · External reference
Model-based and model-free “plug-and-play” building energy efficient control
10.1016/j.apenergy.2015.05.081 · 2015 · External reference
Reinforcement learning for optimal control of low exergy buildings
10.1016/j.apenergy.2015.07.050 · 2015 · External reference
Autonomous HVAC control, a reinforcement learning approach
2015 · External reference
A multi-grid reinforcement learning method for energy conservation and comfort of HVAC in buildings
2015 · External reference
Thermal comfort control based on MEC algorithm for HVAC systems
2015 · External reference
Learning agent for a heat-pump thermostat with a set-back strategy using model-free reinforcement learning
10.3390/en8088300 · 2015 · External reference
A GA-based coordinated demand response control for building group level peak demand limiting with benefits to grid power balance
10.1016/j.enbuild.2015.10.039 · 2016 · External reference
Experimental analysis of data-driven control for a building heating system
10.1016/j.segan.2016.02.002 · 2016 · External reference
Residential demand response of thermostatically controlled loads using batch reinforcement learning
10.1109/tsg.2016.2517211 · 2016 · External reference
Implementation of demand response strategies in a multi-purpose commercial building using a whole-building simulation model approach
10.1016/j.enbuild.2016.09.017 · 2016 · External reference
Deep reinforcement learning for building HVAC control
2017 · External reference
Optimizing legacy building operation: the evolution into data-driven predictive cyber-physical systems
10.1016/j.enbuild.2017.05.002 · 2017 · External reference
Optimal HVAC scheduling using phase-change material as a demand response resource
2017 · External reference
A long-short term memory recurrent neural network based reinforcement learning controller for office heating ventilation and air conditioning systems
10.3390/pr5030046 · 2017 · External reference
Deep reinforcement learning on HVAC control.
2018 · External reference
Data center cooling using model-predictive control
2018 · External reference
Reinforcement learning-based thermal comfort control for vehicle cabins
10.1016/j.mechatronics.2017.04.010 · 2018 · External reference
Optimal control of HVAC and window systems for natural ventilation through reinforcement learning
10.1016/j.enbuild.2018.03.051 · 2018 · External reference
Reinforcement learning testbed for power-consumption optimization
2018 · External reference
Optimal dispatch of aggregated HVAC units for demand response: an industry 4.0 approach
10.3390/en12224320 · 2019 · External reference
Control strategies for energy optimization of HVAC systems in small office buildings using energyplus tm
2019 · External reference
Model predictive control for buildings with active one-pipe hydronic heating
2019 · External reference
Fusing tensorflow with building energy simulation for intelligent energy management in smart cities
10.1016/j.scs.2018.11.021 · 2019 · External reference
Reinforcement learning control algorithm for HVAC retrofitting: application to a supermarket building model by dynamic simulation
2019 · External reference
Building HVAC scheduling using reinforcement learning via neural network based model approximation
2019 · External reference
Energy optimization of HVAC systems in commercial buildings considering indoor air quality management
2018 · External reference
Energy optimization associated with thermal comfort and indoor air control via a deep reinforcement learning algorithm
10.1016/j.buildenv.2019.03.038 · 2019 · External reference
Whole building energy model for HVAC optimal control: a practical framework based on deep reinforcement learning
10.1016/j.enbuild.2019.07.029 · 2019 · External reference
Octopus: deep reinforcement learning for holistic smart building control
2019 · External reference
A supervised-learning-based strategy for optimal demand response of an HVAC system in a multi-zone office building
10.1109/tsg.2020.2986539 · 2020 · External reference
Real-time residential demand response
2020 · External reference
Unresolved reference
2007 · External reference
Energy management of small-scale PV-battery systems: a systematic review considering practical implementation, computational requirements, quality of input data and battery degradation
10.1016/j.rser.2019.06.007 · 2019 · External reference
Unresolved reference
External reference
A summary of demand response in electricity markets
10.1016/j.epsr.2008.04.002 · 2008 · External reference
Unresolved reference
External reference
Hierarchical control of building HVAC system for ancillary services provision
10.1016/j.enbuild.2018.03.004 · 2018 · External reference
A review on buildings energy consumption information
10.1016/j.enbuild.2007.03.007 · 2008 · External reference
Using thermal inertia of buildings with phase change material for demand response
10.1016/j.egypro.2017.07.483 · 2017 · External reference
Robust prediction and mpc-based optimal energy management for HVAC system
10.1016/j.ifacol.2018.11.182 · 2018 · External reference
An integrated model predictive control approach for optimal HVAC and energy storage operation in large-scale buildings
10.1016/j.apenergy.2019.01.187 · 2019 · External reference
Quantitative comparison of data-driven and physics-based models for commercial building HVAC systems
2017 · External reference
Review on the HVAC system modeling types and the shortcomings of their application
10.1155/2013/768632 · 2013 · External reference
Review of control techniques for HVAC systems-nonlinearity approaches based on fuzzy cognitive maps
10.3390/en11030495 · 2018 · External reference
Supervisory and optimal control of building HVAC systems: a review
10.1080/10789669.2008.10390991 · 2008 · External reference
Calculation of optimal thermal load of intermittently heated buildings
10.1016/j.enbuild.2010.02.017 · 2010 · External reference
Comparison and simulation of building thermal models for effective energy management
10.4236/sgre.2015.64009 · 2015 · External reference
Reinforcement learning for demand response: a review of algorithms and modeling techniques
10.1016/j.apenergy.2018.11.002 · 2019 · External reference
A survey on demand response in smart grids: mathematical models and approaches
10.1109/tii.2015.2414719 · 2015 · External reference
Residential demand response targeting using machine learning with observational data
2016 · External reference
Evaluation of machine learning algorithms for demand response potential forecasting
10.26868/25222708.2017.441 · 2017 · External reference
A bayesian perspective on residential demand response using smart meter data
2016 · External reference
End-user comfort oriented day-ahead planning for responsive residential HVAC demand aggregation considering weather forecasts
10.1109/tsg.2016.2556619 · 2016 · External reference
Unresolved reference
External reference
Balancing supply and demand in the presence of renewable generation via demand response for electric water heaters
10.1007/s10479-020-03580-1 · 2020 · External reference
An integrative dr study for optimal home energy management based on approximate dynamic programming
10.3390/su9071248 · 2017 · External reference
An optimal and learning-based demand response and home energy management system
10.1109/tsg.2016.2552169 · 2016 · External reference
Towards the intelligent home: using reinforcement-learning for optimal heating control
2013 · External reference
Deepcomfort: energy-efficient thermal comfort control in buildings via reinforcement learning
10.1109/jiot.2020.2992117 · 2020 · External reference
10.1016/j.scs.2019.101748
10.1016/j.scs.2019.101748 · External reference
Unresolved reference
2018 · External reference
Trust region policy optimization
2015 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
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Unresolved reference
External reference
Thermal comfort. analysis and applications in environmental engineering.
1970 · External reference
CRISP-DM: Towards a standard process model for data mining
2000 · External reference
Deep reinforcement learning that matters
2018 · External reference
Transfer learning for reinforcement learning domains: a survey
2009 · External reference
Standard 55-2017, thermal environmental conditions for human occupancy
2017 · External reference
Co-simulation of building energy and control systems with the building controls virtual test bed
10.1080/19401493.2010.518631 · 2011 · External reference
Energyplus: creating a new-generation building energy simulation program
10.1016/s0378-7788(00)00114-6 · 2001 · External reference
Neural-network-based identifier/controller for modern HVAC control
1995 · External reference
