Evaluation of advanced control strategies for building energy systems

Physics-informed linear regression is competitive with two Machine Learning methods in residential building MPC

(2022) Felix Bünning et al.   APPLIED ENERGY

Reinforced model predictive control (RL-MPC) for building energy management

(2022) Javier Arroyo et al.   APPLIED ENERGY

Nonlinear Distributed Model Predictive Control for multi-zone building energy systems

(2022) Maximilian Mork et al.   ENERGY AND BUILDINGS

Cloud-Based Optimal Control of Individual Borehole Heat Exchangers in a Geothermal Field

(2022) Phillip Stoffel et al.   Journal of Thermal Science

Modular hydronic subsystem models for testing and improving control algorithms of air-handling units

(2022) Alexander Kümpel et al.   Journal of Building Engineering

Experimental data-driven model predictive control of a hospital HVAC system during regular use

(2022) Emilio T. Maddalena et al.   ENERGY AND BUILDINGS

Building HVAC Control with Reinforcement Learning for Reduction of Energy Cost and Demand Charge

(2021) Zhanhong Jiang et al.   ENERGY AND BUILDINGS

Experiment study of machine-learning-based approximate model predictive control for energy-efficient building control

(2021) Shiyu Yang et al.   APPLIED ENERGY

Model Predictive Control with Adaptive Building Model for Heating Using the Hybrid Air-Conditioning System in a Railway Station

(2021) Ruixin Lv et al.   Energies

Data requirements and performance evaluation of model predictive control in buildings: A modeling perspective

(2021) Sicheng Zhan et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Experimental evaluation of model-free reinforcement learning algorithms for continuous HVAC control

(2021) Marco Biemann et al.   APPLIED ENERGY

Experimental test of a black-box economic model predictive control for residential space heating

(2021) Michael Dahl Knudsen et al.   APPLIED ENERGY

Implementation of model predictive control in a large-sized, low-energy office building

(2021) Svenne Freund et al.   BUILDING AND ENVIRONMENT

Coordinated energy management for a cluster of buildings through deep reinforcement learning

(2021) Giuseppe Pinto et al.   ENERGY

Improved residential energy management system using priority double deep Q-learning

(2021) Alwyn Mathew et al.   Sustainable Cities and Society

Model-predictive control and reinforcement learning in multi-energy system case studies

(2021) Glenn Ceusters et al.   APPLIED ENERGY

Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency

(2021) Samir Touzani et al.   APPLIED ENERGY

Data-driven district energy management with surrogate models and deep reinforcement learning

(2021) Giuseppe Pinto et al.   APPLIED ENERGY

Towards healthy and cost-effective indoor environment management in smart homes: A deep reinforcement learning approach

(2021) Ting Yang et al.   APPLIED ENERGY

Deep reinforcement learning control of electric vehicle charging in the presence of photovoltaic generation

(2021) Marina Dorokhova et al.   APPLIED ENERGY

Experimental demonstration of data predictive control for energy optimization and thermal comfort in buildings

(2020) Felix Bünning et al.   ENERGY AND BUILDINGS

Cloud-based implementation of white-box model predictive control for a GEOTABS office building: A field test demonstration

(2020) Ján Drgoňa et al.   JOURNAL OF PROCESS CONTROL

Model predictive control with adaptive machine-learning-based model for building energy efficiency and comfort optimization

(2020) Shiyu Yang et al.   APPLIED ENERGY

Reinforcement learning for building controls: The opportunities and challenges

(2020) Zhe Wang et al.   APPLIED ENERGY

All you need to know about model predictive control for buildings

(2020) Ján Drgoňa et al.   ANNUAL REVIEWS IN CONTROL

Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings

(2020) Silvio Brandi et al.   ENERGY AND BUILDINGS

Data-driven predictive control for unlocking building energy flexibility: A review

(2020) Anjukan Kathirgamanathan et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Adaptive-predictive control strategy for HVAC systems in smart buildings – A review

(2020) Maryam Gholamzadehmir et al.   Sustainable Cities and Society

Challenges and Opportunities on Nonlinear State Estimation of Chemical and Biochemical Processes

(2020) Ronald Alexander et al.   Processes

Applications of reinforcement learning in energy systems

(2020) A.T.D. Perera et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Automated data-driven modeling of building energy systems via machine learning algorithms

(2019) Martin Rätz et al.   ENERGY AND BUILDINGS

Towards optimal control of air handling units using deep reinforcement learning and recurrent neural network

(2019) Zhengbo Zou et al.   BUILDING AND ENVIRONMENT

Transfer learning with deep neural networks for model predictive control of HVAC and natural ventilation in smart buildings

(2019) Yujiao Chen et al.   JOURNAL OF CLEANER PRODUCTION

Data-driven model predictive control using random forests for building energy optimization and climate control

(2018) Francesco Smarra et al.   APPLIED ENERGY

Approximate model predictive building control via machine learning

(2018) Ján Drgoňa et al.   APPLIED ENERGY

Model Predictive Control (MPC) for Enhancing Building and HVAC System Energy Efficiency: Problem Formulation, Applications and Opportunities

(2018) Gianluca Serale et al.   Energies

Model-based vs data-driven adaptive control: An overview

(2018) Mouhacine Benosman   INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING

Modeling techniques used in building HVAC control systems: A review

(2018) Zakia Afroz et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

TACO, an automated toolchain for model predictive control of building systems: implementation and verification

(2018) F. Jorissen et al.   Journal of Building Performance Simulation

Reinforcement learning for demand response: A review of algorithms and modeling techniques

(2018) José R. Vázquez-Canteli et al.   APPLIED ENERGY

Impact of the controller model complexity on model predictive control performance for buildings

(2017) Damien Picard et al.   ENERGY AND BUILDINGS

Ten questions concerning model predictive control for energy efficient buildings

(2016) M. Killian et al.   BUILDING AND ENVIRONMENT

Model-predictive control for non-domestic buildings: a critical review and prospects

(2016) Peter Rockett et al.   BUILDING RESEARCH AND INFORMATION

Practical implementation and evaluation of model predictive control for an office building in Brussels

(2016) Roel De Coninck et al.   ENERGY AND BUILDINGS

Model Predictive Climate Control of a Swiss Office Building: Implementation, Results, and Cost–Benefit Analysis

(2016) David Sturzenegger et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Reinforcement learning for optimal control of low exergy buildings

(2015) Lei Yang et al.   APPLIED ENERGY

Field tests of an adaptive, model-predictive heating controller for residential buildings

(2015) David Lindelöf et al.   ENERGY AND BUILDINGS

Black-box modeling of residential HVAC system and comparison of gray-box and black-box modeling methods

(2015) Abdul Afram et al.   ENERGY AND BUILDINGS

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Review of modeling methods for HVAC systems

(2014) Abdul Afram et al.   APPLIED THERMAL ENGINEERING

Low order thermal network models for dynamic simulations of buildings on city district scale

(2014) M. Lauster et al.   BUILDING AND ENVIRONMENT

From hybrid model predictive control to logical control for shading system: A support vector machine approach

(2014) Khang Le et al.   ENERGY AND BUILDINGS

Quality of grey-box models and identified parameters as function of the accuracy of input and observation signals

(2014) G. Reynders et al.   ENERGY AND BUILDINGS

Handling model uncertainty in model predictive control for energy efficient buildings

(2014) M. Maasoumy et al.   ENERGY AND BUILDINGS

Learning decision rules for energy efficient building control

(2014) Alexander Domahidi et al.   JOURNAL OF PROCESS CONTROL

Thermal comfort control using a non-linear MPC strategy: A real case of study in a bioclimatic building

(2013) M. Castilla et al.   JOURNAL OF PROCESS CONTROL

Modelica Buildings library

(2013) Michael Wetter et al.   Journal of Building Performance Simulation

EKF based self-adaptive thermal model for a passive house

(2012) Samuel F. Fux et al.   ENERGY AND BUILDINGS

Extraction of supervisory building control rules from model predictive control of windows in a mixed mode building

(2012) Peter T. May-Ostendorp et al.   Journal of Building Performance Simulation

Model-predictive control of mixed-mode buildings with rule extraction

(2010) Peter May-Ostendorp et al.   BUILDING AND ENVIRONMENT

A real-time algorithm for moving horizon state and parameter estimation

(2010) Peter Kühl et al.   COMPUTERS & CHEMICAL ENGINEERING

Optimal tree-based release rules for real-time flood control operations on a multipurpose multireservoir system

(2008) Chih-Chiang Wei et al.   JOURNAL OF HYDROLOGY