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Cited by 36 publications
(17 citation statements)
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“…In [26], to protect privacy, a decentralized method based on a multi-level virtual market was proposed. Different from the above works where the heat transfer between neighbouring thermal zones is ignored, [2], [27] regarded the heat transfer from the adjacent zone as external thermal disturbances that are measured through sensors or learned from data at the beginning of each planning horizon. To cope with the difficulties and challenges to solve the problem, a hierarchical distributed method was proposed, in which the original optimization problem was divided into three-level subproblems and each corresponds to a part of the global objective function.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…In [26], to protect privacy, a decentralized method based on a multi-level virtual market was proposed. Different from the above works where the heat transfer between neighbouring thermal zones is ignored, [2], [27] regarded the heat transfer from the adjacent zone as external thermal disturbances that are measured through sensors or learned from data at the beginning of each planning horizon. To cope with the difficulties and challenges to solve the problem, a hierarchical distributed method was proposed, in which the original optimization problem was divided into three-level subproblems and each corresponds to a part of the global objective function.…”
Section: Related Workmentioning
confidence: 99%
“…In this case study, we assume there exist heat transfer between any two of the zones. Without loss of generality, the initial temperature for the I = 5 zones are set as [26,28,28,27,27] • C, respectively. Similarly, the thermal load curves for the I = 5 zones are randomly generated according to the uniform distribution, which are shown in Fig.…”
Section: A Performance Evaluationmentioning
confidence: 99%
“…In fact, there exist many evolutionary and swarm intelligent algorithms for coordination and combinatorial optimization in engineering [23,24], but they might not be applicable to decentralized pumps control system due to a number of reasons. Firstly, the existing evolutionary or swarm intelligent algorithm refers to quite identical individualities.…”
Section: Decentralized Optimization Based On Probability Parallel Varmentioning
confidence: 99%
“…Statistics suggest that space cooling alone contributes to about 40-45% of the total building energy consumption in India. Consequently, energy optimization for space cooling maintaining thermal comfort has attracted significant attention recently (see [2,3] and references therein). While the importance of energy consumption is often exacerbated, the indoor air quality (IAQ) is not usually discussed [4].…”
Section: Introductionmentioning
confidence: 99%
“…Over the years, several control approaches for maintaining both IAQ and thermal comfort have been studied but with certain limitations. Among those, few studies implemented model predictive control (MPC) to investigate the combined (i) thermal comfort and CO 2 optimization by regulating fresh air [10], (ii) IAQ (particle concentration) and energy optimization [11], (iii) multi-objective optimization of IAQ (particulate matter) and energy consumption in subway ventilation system [12], (iv) optimization energy and IAQ with focus on CO 2 [13], and (v) energy optimization and air-quality through fresh air induction [3]. More recently, the role of demand controlled ventilation(DCV) on IAQ and energy savings was studied [14].…”
Section: Introductionmentioning
confidence: 99%