2014 3rd International Conference on Eco-Friendly Computing and Communication Systems 2014
DOI: 10.1109/eco-friendly.2014.99
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Energy Efficient and Effective Control Strategy of HVAC System in Large Shopping Complex

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Cited by 4 publications
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“…• Calculate the relative entropy value KL(P||Q) of the data distribution between the current cycle T i and the previous cycle of the sensor node according to formula (5). The smaller the relative entropy value, the greater the probability distribution of the data in the two cycles.…”
Section: De-redundancy Methodsmentioning
confidence: 99%
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“…• Calculate the relative entropy value KL(P||Q) of the data distribution between the current cycle T i and the previous cycle of the sensor node according to formula (5). The smaller the relative entropy value, the greater the probability distribution of the data in the two cycles.…”
Section: De-redundancy Methodsmentioning
confidence: 99%
“…The problem is that the energy consumption between sets and routing levels has not been discussed too much and needs to be further optimised. Literature [5] proposed a high-efficiency bee clustering WSN protocol based on the improved artificial bee colony meta-heuristic algorithm, which can obtain the optimal cluster head in WSN. The method is used to balance the network energy consumption, but there is no other design of the node energy consumption balance strategy at the routing level.…”
Section: Introductionmentioning
confidence: 99%
“…For the car park with multiple EVs, the EV charging/discharging strategy can be developed to minimise electricity cost under the realtime price. In most shopping centres, the air temperature is maintained by the heating, ventilation and air conditioning (HVAC) system, which consumes a large amount of energy [9]. The most simple control of HVAC is through an onoff switching operation.…”
Section: Introductionmentioning
confidence: 99%