{"id":{"repo_id":"purdue-thes","oai_identifier":"oai:docs.lib.purdue.edu:open_access_dissertations-2313"},"canonical_url":"https://search.dev.ndltd.org/etd/purdue-thes/oai:docs.lib.purdue.edu:open_access_dissertations-2313","repository":{"repo_id":"purdue-thes","name":"Purdue University","base_url":"https://docs.lib.purdue.edu/do/oai/"},"display":{"title":"A Low Cost Multi-Agent Control Approach for Building Energy System Management","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Cai, Jie"],"institution":null,"degree_name":"Doctor of Philosophy (PhD)","degree_level":"Dissertation","degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":["James E. Braun","Jianghai Hu","George Chiu","William T. Horton"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-01-01T08:00:00Z","date_published":"2015-01-01T08:00:00Z","updated_at":"2026-07-24T03:54:17Z","subjects":["Building control system","Building energy system","Multi-agent control","System identification"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://docs.lib.purdue.edu/open_access_dissertations/1097","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["James E. Braun","Jianghai Hu","George Chiu","William T. 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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."]},{"key":"dc:title","label":"Title","values":["A Low Cost Multi-Agent Control Approach for Building Energy System Management"]}]}],"canonical_facts":{"dc:contributor":["James E. Braun","Jianghai Hu","George Chiu","William T. Horton"],"dc:creator":["Cai, Jie"],"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."],"dc:identifier":["https://docs.lib.purdue.edu/open_access_dissertations/1097"],"dc:subject":["Building control system","Building energy system","Multi-agent control","System identification"],"dc:title":["A Low Cost Multi-Agent Control Approach for Building Energy System Management"],"thesis:degree_discipline":["Mechanical Engineering"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Doctor of Philosophy (PhD)"]},"updated_at":"2026-07-24T03:54:17Z"}