2010
DOI: 10.1016/j.apenergy.2010.04.008
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Modeling and optimization of HVAC energy consumption

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Cited by 214 publications
(80 citation statements)
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“…Subject to E ≥ 0.5 (2) Accepted for publication in Applied Energy Table 2. Summary of criteria that were tested.…”
Section: Accepted For Publication In Applied Energymentioning
confidence: 99%
See 1 more Smart Citation
“…Subject to E ≥ 0.5 (2) Accepted for publication in Applied Energy Table 2. Summary of criteria that were tested.…”
Section: Accepted For Publication In Applied Energymentioning
confidence: 99%
“…Examples include obtaining high visual performance [1], or lower energy consumption [2][3][4][5][6].…”
Section: Introductionmentioning
confidence: 99%
“…Fig. 7 shows the flowchart of the Particle swarm optimization (PSO) algorithm [27]. Kusiak and Zheng presented an evolutionary computation approach for optimization of power factor and power output of wind turbines.…”
Section: Applications Of Data Mining Methods In the Energy System Applmentioning
confidence: 99%
“…For instance, Kusiak et al [33] investigated the relationships between the control settings of the air handling unit and energy usage of the HVAC system. In this case, an algorithm based on the combination of NNs was used to model the non-linear relationship between energy consumption, control settings (supply air temperature and supply air static pressure), and a set of uncontrollable parameters.…”
Section: Building Operationmentioning
confidence: 99%
“…The authors used those rules to achieve near-optimal supervisory control strategies for a mixed-mode building during the cooling season. Although a variety of techniques can be applied to extract IF-THEN rules, most authors use classification techniques [32,33], especially decision tree algorithms [31,28]. In addition, classification models are effective tools that can be used to predict building user comfort under different environmental conditions [28].…”
Section: Building Operationmentioning
confidence: 99%