Energy Auditing for Efficient Planning and Implementation in Commercial and Residential Buildings

Sendrayaperumal, Angalaeswari; Mahapatra, Somyak; Parida, Sabuja Sanket; Surana, Komal; Balamurugan, P.; Natrayan, L.; Paramasivam, Prabhu

doi:10.1155/2021/1908568

Cited by 104 publications

(23 citation statements)

References 21 publications

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“…It is also seen that the cluster head was present till 4500 rounds and after the cluster head selection is stopped. It shows that the nodes with proper weightage are only elected as cluster heads [ 36 ]. The nodes selected as cluster heads have sufficient energy to be elected, meaning nearly 10 nodes passed this threshold value in every round.…”

Section: Resultsmentioning

confidence: 99%

Optimization of Leach Protocol in Wireless Sensor Network Using Machine Learning

Ramesh

Rajasekaran

Dwivedi

et al. 2022

Computational Intelligence and Neuroscience

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The Wireless Sensor Network is a network formed in areas human beings cannot access. The data need to be sensed by the sensor and transferred to the sink node. Many routing protocols are designed to route data from a single node to the sink node. One of the routing protocols is the hierarchical routing protocol, which passes on the sensed data hierarchically. The Low Energy Adaptive Clustering Hierarchy (LEACH) is one of the hierarchical methods in which communication happens in two steps: the setup phase and the steady-state phase. The efficiency of the LEACH has to be optimized to improve the network lifetime. Therefore, the k-means clustering algorithm, which comes under the unsupervised machine learning method, is incorporated with the LEACH algorithm and has shown better results. But the selection of cluster head needs to improvise because it will transfer the summed-up data to the sink node, so it is to be efficient enough. So, this paper proposes the modified k-means algorithm with LEACH protocol for optimizing the Wireless Sensor Network. In the modified k-means algorithm, the weight of the cluster head is tested and elected, and the clusters are formed using the Euclidean distance formula. The proposed work yields 48.85% efficiency compared to the existing protocol. It is also proven that the proposed work showed more successful data transfer to the sink node. The cluster head selection process elects the more efficient node as the head with less failure rate. The proposed work optimistically balanced the whole network in terms of energy and successful data transfer.

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Section: Resultsmentioning

confidence: 99%

Optimization of Leach Protocol in Wireless Sensor Network Using Machine Learning

Ramesh

Rajasekaran

Dwivedi

et al. 2022

Computational Intelligence and Neuroscience

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“…Confocal photography to investigate the flow pattern in a discharged hydrocarbon. Researchers created numerical answers that were broadly consistent with the previous studies 10 . This effect of natural convection heat transport was ignored in several investigations.…”

Section: Introductionmentioning

confidence: 84%

Effectiveness of mixed convection flow following pressure vessel gas evacuation

Natrayan

2023

International Conference on Mathematical and Statistical Physics, Computational Science, Education, and Communication (ICMSCE 2

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Experimentation and analysis are utilized to investigate updated gaseous Jeffrey fluid throughout the container vent. An aperture and tubing link a rising nitrogen delivery container to a reduced reception. A single power container study and a cross study were utilized to anticipate pressure or extra heat in the supplies. Testing was carried out using flash PVT techniques to gather instantaneous pressures and maximum bulk temperatures, confirming the study. Research reproduces observed temporal volumes plus surplus temps in the source. Aside from the initial portion of a transmission, cooling is driven by various airflows.

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“…Saar and Viscata make similar comments. Figure 1 shows the comparison of molten fraction along with grid size 21 .…”

Section: Measurement Of Solidsmentioning

confidence: 99%

Experimental analysis on heat transfer cube shape of two vertical surfaces during melting condition

Lakshmaiya

2023

International Conference on Mathematical and Statistical Physics, Computational Science, Education, and Communication (ICMSCE 2

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Following regulating temperature testing, all insulating fabric in shipping packaging burns. This paper studies the heat transfer of the leads encapsulated in a scaling steel cube. The cuboid dimensions are 40 mm x 40 mm x 50 mm. A free convection criterion is established for the double vertical sides. Insulation is installed on both the top and bottom surfaces. The method is used to visualize the movements of a rock electrode interface, mainly during the smelting of leads. Thermal imaging is a simple and non-intrusive method for determining the melting face during the dissolving of laminates. The approach continuously and immediately exhibits dynamical capturing of the development of an electrolyte interface underneath the forces of convective heat transfer. Computational research is indeed carried out to simulate the dissolving phenomena. The results are contrasted to one wall height, and a suitable feature height is proposed.

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Energy Auditing for Efficient Planning and Implementation in Commercial and Residential Buildings

Cited by 104 publications

References 21 publications

Optimization of Leach Protocol in Wireless Sensor Network Using Machine Learning

Optimization of Leach Protocol in Wireless Sensor Network Using Machine Learning

Effectiveness of mixed convection flow following pressure vessel gas evacuation

Experimental analysis on heat transfer cube shape of two vertical surfaces during melting condition

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