Emrah BiyikJames D. BrooksHullas SehgalJigar J. ShahSahika GencyShah, JigarGency, SahikaBiyik, EmrahBrooks, James D.Sehgal, HullasGenc, Sahika2025-10-0620159798350328066, 0780308611, 0780355199, 9781424420797, 9780780308619, 0780338324, 9780780345300, 9781479932726, 1424402107, 97815386792659781479986842074316190743-16192378-586110.1109/ACC.2015.71709752-s2.0-84940923920https://www.scopus.com/inward/record.uri?eid=2-s2.0-84940923920&doi=10.1109%2FACC.2015.7170975&partnerID=40&md5=3588a7318b158c5a6d955197c481c54ahttps://gcris.yasar.edu.tr/handle/123456789/9895https://doi.org/10.1109/ACC.2015.7170975The contribution of this paper is in two-folds: 1) If more predictive and intelligent control of the thermostat setpoints with no explicit models of Root Top Units (RTUs) yet with simplistic lumped parameter thermal models of buildings can be effective in reducing a small commercial buildings summer-time peak load while adequately maintaining comfort levels and 2) how this simplistic indirect control approach to RTUs compare to more sophisticated direct control approaches in terms of peak-load reduction and cost. First the modelpredictive control approach is presented. Second the results of cloud-based implementation of the optimization algorithm at the two demonstration commercial buildings owned by General Electric (GE) optimizer characteristics different set point trajectories and their implication with regards to peak load and comfort and observations are described. On average the savings from the indirect optimal control strategy utilized in our approach through a cloud-based control implementation architecture is shown to be comparable to previously stated savings in literature from more sophisticated direct optimal control of RTUs while the comfort levels are the same as the non-optimal strategy or slightly better in some cases. © 2021 Elsevier B.V. All rights reserved.Englishinfo:eu-repo/semantics/closedAccessOptimal Control Systems, Algorithm And Implementation, Commercial Building, Control Implementation, Model-predictive Control Approach, Optimal Control Strategy, Optimization Algorithms, Peak Load Reductions, Thermostatic Control, Office BuildingsOptimal control systems, Algorithm and implementation, Commercial building, Control implementation, Model-predictive control approach, Optimal control strategy, Optimization algorithms, Peak load reductions, Thermostatic control, Office buildingsConference Object