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

A probabilistic hot water usage model and simulator for use in residential energy management

(2021) M.J. Ritchie et al.   ENERGY AND BUILDINGS

Monitoring data-driven Reinforcement Learning controller training: a comparative study of different training strategies for a real-world energy system

(2021) Thomas Schreiber et al.   ENERGY AND BUILDINGS

A novel reinforcement learning method for improving occupant comfort via window opening and closing

(2020) Mengjie Han 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

An uncertainty-aware deep reinforcement learning framework for residential air conditioning energy management

(2020) Clement Lork 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

Short-term energy use prediction of solar-assisted water heating system: Application case of combined attention-based LSTM and time-series decomposition

(2020) Amirreza Heidari et al.   SOLAR ENERGY

Application of two promising Reinforcement Learning algorithms for load shifting in a cooling supply system

(2020) Thomas Schreiber et al.   ENERGY AND BUILDINGS

Adaptive hot water production based on Supervised Learning

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

Multi-task deep reinforcement learning for intelligent multi-zone residential HVAC control

(2020) Yan Du et al.   ELECTRIC POWER SYSTEMS RESEARCH

How much energy can optimal control of domestic water heating save?

(2019) M.J. Booysen et al.   Energy for Sustainable Development

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

(2019) Ana Soares 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

Reinforcement Learning Applied to an Electric Water Heater: From Theory to Practice

(2018) F. Ruelens et al.   IEEE Transactions on Smart Grid

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

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

Simple methodology to estimate the mean hourly and the daily profiles of domestic hot water demand from hourly total heating readings

(2018) Anna Marszal-Pomianowska et al.   ENERGY AND BUILDINGS

IEA EBC Annex 66: Definition and simulation of occupant behavior in buildings

(2017) Da Yan et al.   ENERGY AND BUILDINGS

Survey of Model-Based Reinforcement Learning: Applications on Robotics

(2017) Athanasios S. Polydoros et al.   JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS

Generalizable occupant-driven optimization model for domestic hot water production in NZEB

(2016) H. Kazmi et al.   APPLIED ENERGY

Experimental study of the solar photovoltaic contribution for the domestic hot water production with heat pumps in dwellings

(2016) F.J. Aguilar et al.   APPLIED THERMAL ENGINEERING

High resolution measured domestic hot water consumption of Canadian homes

(2015) Dane George et al.   ENERGY AND BUILDINGS

Thermal and sanitary performance of domestic hot water cylinders: Conflicting requirements

(2014) Peter M. Armstrong et al.   APPLIED ENERGY