DeepValve: Development and experimental testing of a Reinforcement Learning control framework for occupant-centric heating in offices

An occupant-centric control framework for balancing comfort, energy use and hygiene in hot water systems: A model-free reinforcement learning approach

(2022) Amirreza Heidari et al.   APPLIED ENERGY

Reinforcement Learning for proactive operation of residential energy systems by learning stochastic occupant behavior and fluctuating solar energy: Balancing comfort, hygiene and energy use

(2022) Amirreza Heidari et al.   APPLIED ENERGY

A practical deep reinforcement learning framework for multivariate occupant-centric control in buildings

(2022) Yue Lei 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

Occupant-centered real-time control of indoor temperature using deep learning algorithms

(2021) Seunghoon Jung et al.   BUILDING AND ENVIRONMENT

Model predictive control for demand side management in buildings: A survey

(2021) Meisam Farrokhifar et al.   Sustainable Cities and Society

Load shifting potential assessment of building thermal storage performance for building design

(2021) Yan Ding et al.   ENERGY

Performance of air and ground source heat pumps retrofitted to radiator heating systems and measures to reduce space heating temperatures in existing buildings

(2021) Manuel Lämmle et al.   ENERGY

Energy optimization for regional buildings based on distributed reinforcement learning

(2021) Yude Qin et al.   Sustainable Cities and Society

Operation scheduling in a solar thermal system: A reinforcement learning-based framework

(2020) Camila Correa-Jullian et al.   APPLIED ENERGY

Reinforcement learning for building controls: The opportunities and challenges

(2020) Zhe Wang et al.   APPLIED ENERGY

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

(2020) Silvio Brandi et al.   ENERGY AND BUILDINGS

Adaptive hot water production based on Supervised Learning

(2020) Amirreza Heidari et al.   Sustainable Cities and Society

Occupancy patterns obtained by heuristic approaches: cluster analysis and logical flowcharts. A case study in a university office

(2019) Dafni Mora et al.   ENERGY AND BUILDINGS

Opportunistic occupancy-count estimation using sensor fusion: A case study

(2019) Brodie W. Hobson et al.   BUILDING AND ENVIRONMENT

Whole building energy model for HVAC optimal control: A practical framework based on deep reinforcement learning

(2019) Zhiang Zhang et al.   ENERGY AND BUILDINGS

Experimental study on heat transfer characteristics of interior walls under partial-space heating mode in hot summer and cold winter zone in China

(2019) Nan Li et al.   APPLIED THERMAL ENGINEERING

A critical review of field implementations of occupant-centric building controls

(2019) June Young Park et al.   BUILDING AND ENVIRONMENT

Using reinforcement learning for maximizing residential self-consumption – Results from a field test

(2019) Ana Soares et al.   ENERGY AND BUILDINGS

Long-term monitoring data from a naturally ventilated office building

(2019) Marcel Schweiker et al.   Scientific Data

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

(2019) Zhengbo Zou et al.   BUILDING AND ENVIRONMENT

Thermal Comfort, Energy and Cost Impacts of PMV Control Considering Individual Metabolic Rate Variations in Residential Building

(2018) Sung Hong et al.   Energies

Gigawatt-hour scale savings on a budget of zero: Deep reinforcement learning based optimal control of hot water systems

(2018) Hussain Kazmi et al.   ENERGY

A review of occupant-centric building control strategies to reduce building energy use

(2018) Sophie Naylor et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

LightLearn: An adaptive and occupant centered controller for lighting based on reinforcement learning

(2018) June Young Park et al.   BUILDING AND ENVIRONMENT

A novel classification scheme for design and control of radiant system based on thermal response time

(2017) Baisong Ning et al.   ENERGY AND BUILDINGS

Neuroscience-Inspired Artificial Intelligence

(2017) Demis Hassabis et al.   NEURON

Improved occupancy monitoring in non-domestic buildings

(2017) Tobore Ekwevugbe et al.   Sustainable Cities and Society

Development of an occupancy learning algorithm for terminal heating and cooling units

(2015) H. Burak Gunay et al.   BUILDING AND ENVIRONMENT

An information technology enabled sustainability test-bed (ITEST) for occupancy detection through an environmental sensing network

(2010) Bing Dong et al.   ENERGY AND BUILDINGS