The Design and Implementation of Single and Multi-Agent Deep Reinforcement Learning Algorithms for Optimizing Air Handling Unit Energy Consumption

Mario Daniel Chávez López

The Design and Implementation of Single and Multi-Agent Deep Reinforcement Learning Algorithms for Optimizing Air Handling Unit Energy Consumption

Mario Daniel Chávez López

EngD Data Science Support

Research output: Thesis › EngD Thesis

Original language	English
Supervisors/Advisors	Muntean, Tiberiu, Supervisor Zhang, Yingqian, Supervisor Lecluse, Alain, External supervisor, External person Gelissen, Stefan, External supervisor
Place of Publication	Eindhoven
Publisher	Technische Universiteit Eindhoven
Publication status	Published - 24 Nov 2023

Bibliographical note

EngD thesis. - Confidential.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Cite this

@phdthesis{c1cceeeb15db406b96a29da7a4f654ba,

title = "The Design and Implementation of Single and Multi-Agent Deep Reinforcement Learning Algorithms for Optimizing Air Handling Unit Energy Consumption",

author = "\{Ch{\'a}vez L{\'o}pez\}, \{Mario Daniel\}",

note = "EngD thesis. - Confidential.",

year = "2023",

month = nov,

day = "24",

language = "English",

series = "EngD Thesis",

publisher = "Technische Universiteit Eindhoven",

type = "EngD Thesis",

}