@inproceedings{9bf22117ce364854a835b7734bbdeda5,
title = "Experimental Study of Economic Model Predictive Control in Building Energy Systems",
abstract = "This paper presents results from testing an economic model predictive control (EMPC) strategy in an office building located in Milwaukee, Wisconsin, USA. The control strategy includes an economic objective function that is designed to account for the combination of energy and demand costs under a time-of-use (TOU) rate structure. A min-max optimization problem is formulated and solved as a linear program. The tests were carried out with the controller sited in a remote location and with the loop being closed over the Internet. The results show that the EMPC strategy was successful at reducing energy costs compared to the baseline case for the considered building. {\textcopyright} 2013 AACC American Automatic Control Council.",
author = "Jingran MA and QIN, \{S. Joe\} and Timothy SALSBURY",
year = "2013",
month = jun,
doi = "10.1109/acc.2013.6580411",
language = "English",
isbn = "9781479901777",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "3753--3758",
booktitle = "2013 American Control Conference (ACC)",
address = "United States",
note = "2013 1st American Control Conference, ACC 2013 ; Conference date: 17-06-2013 Through 19-06-2013",
}