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Purdue University

A Low Cost Multi-Agent Control Approach for Building Energy System Management

Abstract

dc:description.abstract

More than 40% of the primary energy is related to energy consumption in buildings in the United States and if buildings are not operated properly, a significant amount of energy is wasted. This matter is becoming widely recognized and the subject of building optimal controls has attracted growing research efforts in the past few years. However, the deployment of advanced controls in buildings has been progressing very slowly because of the high implementation (sensors, software programming, etc.) cost. In particular, modeling of building energy systems is a challenging task due to the internal complexities, which poses an important barrier for model-based controller designs in buildings.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy (PhD)
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Mechanical Engineering
Year
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Cai, Jie
Contributors dc:contributor
  • James E. Braun
  • Jianghai Hu
  • George Chiu
  • William T. Horton

Subjects

dc:subject × 4

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:docs.lib.purdue.edu:open_access_dissertations-2313

Chain of custody

source
Harvested from
Purdue University
Base URL
docs.lib.purdue.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Cai, Jie. A Low Cost Multi-Agent Control Approach for Building Energy System Management. Dissertation thesis, 2015. https://docs.lib.purdue.edu/open_access_dissertations/1097