Prediction-based online optimal control of outdoor air of multi-zone VAV air conditioning systems. Jin, X., Ren, H., & Xiao, X. *Energy and Buildings*, 37(9):939–944, September, 2005. Paper doi abstract bibtex An optimal strategy for outdoor air control is developed using a system approach based on prediction to minimize energy consumption. ARMA model is used to predict the energy performance which is expressed by an energy-increment equation. The energy-increment equation is formed to involve the real-time variations of AHU load and energy use of reheaters of VAV terminals. To minimize the Energy-increment equation by genetic algorithm, the optimal settings of outdoor air ratio of AHU and reheating could be obtained. The strategy is tested and evaluated in a simulated environment under various outdoor and indoor conditions.

@article{jin_prediction-based_2005,
title = {Prediction-based online optimal control of outdoor air of multi-zone {VAV} air conditioning systems},
volume = {37},
issn = {0378-7788},
url = {http://www.sciencedirect.com/science/article/pii/S0378778805000058},
doi = {10.1016/j.enbuild.2004.11.011},
abstract = {An optimal strategy for outdoor air control is developed using a system approach based on prediction to minimize energy consumption. ARMA model is used to predict the energy performance which is expressed by an energy-increment equation. The energy-increment equation is formed to involve the real-time variations of AHU load and energy use of reheaters of VAV terminals. To minimize the Energy-increment equation by genetic algorithm, the optimal settings of outdoor air ratio of AHU and reheating could be obtained. The strategy is tested and evaluated in a simulated environment under various outdoor and indoor conditions.},
number = {9},
urldate = {2018-02-08},
journal = {Energy and Buildings},
author = {Jin, Xinqiao and Ren, Haigang and Xiao, Xiaokun},
month = sep,
year = {2005},
keywords = {Energy-Increment equation, Outdoor air control, VAV air conditioning systems},
pages = {939--944},
}

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