Tsao, Yi-tingYi-tingTsaoYUNG-JEN HSU2018-09-102018-09-102013http://scholars.lib.ntu.edu.tw/handle/123456789/381041Buildings account for roughly 40% of all U.S. energy use, and HVAC systems are a major culprit. The goal of this research is to reduce power consumption without sacrificing human comfort. This paper presents a cooling demand estimation from heat generation to assess the quantity of cooling supply, which helps diagnose potential problems in the HVAC system. A negotiation-based approach is proposed to balance power consumption, cooling for human comfort, and smooth operation for equipment health. Experiments were conducted with the NTU CSIE July 2012 dataset [6] as well as online live experiments in the computer science building on campus. The experiments demonstrated that the proposed method reduced 3.81% to 5.96% of power consumption with consideration of smoothness. © 2013 ACM.[SDGs]SDG3[SDGs]SDG13Demand estimation; Demand-driven; Human comforts; HVAC control; HVAC system; Multiagent negotiation; Potential problems; Power savings; Cooling; Experiments; Intelligent agents; Multi agent systems; Semantics; Climate controlconference paper10.1145/2516911.2516918