3.8 Proceedings Paper

Safe HVAC Control via Batch Reinforcement Learning

Related references

Note: Only part of the references are listed.
Article Computer Science, Information Systems

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

Guanyu Gao et al.

IEEE INTERNET OF THINGS JOURNAL (2020)

Proceedings Paper Automation & Control Systems

Reinforcement Learning for Control of Building HVAC Systems

Naren Srivaths Raman et al.

2020 AMERICAN CONTROL CONFERENCE (ACC) (2020)

Article Construction & Building Technology

Data-driven simulation of a thermal comfort-based temperature set-point control with ASHRAE RP884

Siliang Lu et al.

BUILDING AND ENVIRONMENT (2019)

Article Construction & Building Technology

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

William Valladares et al.

BUILDING AND ENVIRONMENT (2019)

Review Construction & Building Technology

A review of reinforcement learning methodologies for controlling occupant comfort in buildings

Mengjie Han et al.

SUSTAINABLE CITIES AND SOCIETY (2019)

Proceedings Paper Automation & Control Systems

Zap Q-Learning - A User's Guide

Adithya M. Devraj et al.

2019 FIFTH INDIAN CONTROL CONFERENCE (ICC) (2019)

Proceedings Paper Computer Science, Theory & Methods

Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation

Chi Zhang et al.

BUILDSYS'19: PROCEEDINGS OF THE 6TH ACM INTERNATIONAL CONFERENCE ON SYSTEMS FOR ENERGY-EFFICIENT BUILDINGS, CITIES, AND TRANSPORTATION (2019)

Proceedings Paper Computer Science, Theory & Methods

OCTOPUS: Deep Reinforcement Learning for Holistic Smart Building Control

Xianzhong Ding et al.

BUILDSYS'19: PROCEEDINGS OF THE 6TH ACM INTERNATIONAL CONFERENCE ON SYSTEMS FOR ENERGY-EFFICIENT BUILDINGS, CITIES, AND TRANSPORTATION (2019)

Proceedings Paper Computer Science, Theory & Methods

Gnu-RL: A Precocial Reinforcement Learning Solution for Building HVAC Control Using a Differentiable MPC Policy

Bingqing Chen et al.

BUILDSYS'19: PROCEEDINGS OF THE 6TH ACM INTERNATIONAL CONFERENCE ON SYSTEMS FOR ENERGY-EFFICIENT BUILDINGS, CITIES, AND TRANSPORTATION (2019)

Proceedings Paper Computer Science, Information Systems

Practical Implementation and Evaluation of Deep Reinforcement Learning Control for a Radiant Heating System

Zhiang Zhang et al.

BUILDSYS'18: PROCEEDINGS OF THE 5TH CONFERENCE ON SYSTEMS FOR BUILT ENVIRONMENTS (2018)

Proceedings Paper Engineering, Electrical & Electronic

Deep Reinforcement Learning for Building HVAC Control

Tianshu Wei et al.

PROCEEDINGS OF THE 2017 54TH ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC) (2017)

Article Energy & Fuels

Reinforcement learning for optimal control of low exergy buildings

Lei Yang et al.

APPLIED ENERGY (2015)

Article Construction & Building Technology

Handling model uncertainty in model predictive control for energy efficient buildings

M. Maasoumy et al.

ENERGY AND BUILDINGS (2014)

Article Multidisciplinary Sciences

Mutual Information between Discrete and Continuous Data Sets

Brian C. Ross

PLOS ONE (2014)

Article Engineering, Electrical & Electronic

Reducing Transient and Steady State Electricity Consumption in HVAC Using Learning-Based Model-Predictive Control

Anil Aswani et al.

PROCEEDINGS OF THE IEEE (2012)

Article Construction & Building Technology

The control of indoor thermal comfort conditions: introducing a fuzzy adaptive controller

F Calvino et al.

ENERGY AND BUILDINGS (2004)

Article Construction & Building Technology

EnergyPlus: creating a new-generation building energy simulation program

DB Crawley et al.

ENERGY AND BUILDINGS (2001)