@inproceedings{93d044c4e66e4fd691ebca0dd27ed187,
title = "Mixed integer programming for HVACs operation",
abstract = "Mixed integer programming (MIP) problems are formulated in this paper to model the operation of residential Heating Ventilation and Air-Conditioning Systems (HVAC). The objective is to minimize the total cost of the HVAC energy consumption under varying electricity prices. A simplified model of a space cooling system considering thermal dynamics is adopted. The optimization problems consider 24 hour operation of HVAC. Comfort/cost trade-off is modeled by introducing a binary variable. The big-M technique is adopted to obtain linear constraints while considering this binary variable. The MIP problems are solved by CPLEX. Simulation results demonstrate the effectiveness of HVAC's ability to respond to varying electricity price.",
keywords = "Demand response, HVACs, Thermal energy storage system",
author = "Mohemmed Alhaider and Lingling Fan",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Power and Energy Society General Meeting, PESGM 2015 ; Conference date: 26-07-2015 Through 30-07-2015",
year = "2015",
month = sep,
day = "30",
doi = "10.1109/PESGM.2015.7285714",
language = "English",
series = "IEEE Power and Energy Society General Meeting",
publisher = "IEEE Computer Society",
booktitle = "2015 IEEE Power and Energy Society General Meeting, PESGM 2015",
address = "United States",
}