ED-DQN: An event-driven deep reinforcement learning control method for multi-zone residential buildings

A* guiding DQN algorithm for automated guided vehicle pathfinding problem of robotic mobile fulfillment systems

(2023) Lei Luo et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Event-driven online decoupling control mechanism for the variable flow rate HVAC system based on the medium response properties

(2022) Jiaming Wang et al.   BUILDING AND ENVIRONMENT

Real-world implementation and cost of a cloud-based MPC retrofit for HVAC control systems in commercial buildings

(2022) Max Bird et al.   ENERGY AND BUILDINGS

Optimal control method of HVAC based on multi-agent deep reinforcement learning

(2022) Qiming Fu et al.   ENERGY AND BUILDINGS

The PID controller optimisation module using Fuzzy Self-Tuning PSO for Air Handling Unit in continuous operation

(2022) Arkadiusz Ambroziak et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A hierarchical optimal control strategy for continuous demand response of building HVAC systems to provide frequency regulation service to smart power grids

(2021) Huilong Wang et al.   ENERGY

A Review of Deep Reinforcement Learning for Smart Building Energy Management

(2021) Liang Yu et al.   IEEE Internet of Things Journal

Enhanced DQN Framework for Selecting Actions and Updating Replay Memory Considering Massive Non-Executable Actions

(2021) Bonwoo Gu et al.   Applied Sciences-Basel

COVID-19 transmission in Mainland China is associated with temperature and humidity: A time-series analysis

(2020) Hongchao Qi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

DeepComfort: Energy-Efficient Thermal Comfort Control in Buildings Via Reinforcement Learning

(2020) Guanyu Gao et al.   IEEE Internet of Things Journal

A clustering-based approach for “cross-scale” load prediction on building level in HVAC systems

(2020) Wenqiang Li et al.   APPLIED ENERGY

Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning

(2020) Yan Du et al.   APPLIED ENERGY

Energy optimization associated with thermal comfort and indoor air control via a deep reinforcement learning algorithm

(2019) William Valladares et al.   BUILDING AND ENVIRONMENT

Effectiveness of the thermal mass of external walls on residential buildings for part-time part-space heating and cooling using the state-space method

(2019) Jie Deng et al.   ENERGY AND BUILDINGS

Optimal control of HVAC and window systems for natural ventilation through reinforcement learning

(2018) Yujiao Chen et al.   ENERGY AND BUILDINGS

Event-Based HVAC Control--A Complexity-Based Approach

(2018) Qing-Shan Jia et al.   IEEE Transactions on Automation Science and Engineering

Automating occupant-building interaction via smart zoning of thermostatic loads: A switched self-tuning approach

(2018) Simone Baldi et al.   APPLIED ENERGY

PMV-based event-triggered mechanism for building energy management under uncertainties

(2017) Zhanbo Xu et al.   ENERGY AND BUILDINGS

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Calibration of HVAC equipment PID coefficients for energy conservation

(2011) A.P. Wemhoff   ENERGY AND BUILDINGS

DeST — An integrated building simulation toolkit Part I: Fundamentals

(2008) Da Yan et al.   Building Simulation