Machine Learning algorithms for prediction of energy consumption and IoT modeling in complex networks

In this paper, the internal energy consumption on the Internet of Things (IoT) has been studied. The purpose of this paper is to predict the factors affecting energy consumption in buildings by considering machine learning algorithms such as k-nearest neighbors (KNN), Ada boost, random forest and ne...

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Vydáno v:	Microprocessors and microsystems Ročník 89; s. 104423
Hlavní autoři:	Fard, Rehane Hafezi, Hosseini, Soodeh
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Kidlington Elsevier B.V 01.03.2022 Elsevier BV
Témata:	Ada boost algorithm Algorithms Building energy consumption Buildings Computer simulation Cooling loads Energy Energy consumption Heating load Internal energy Internet of Things K-nearest neighbor algorithm (KNN) algorithm Machine learning Neural network algorithm Neural networks Random forest algorithm Regression Internet of things Energy Building energy consumption Random forest algorithm Regression K-nearest neighbor algorithm (KNN) algorithm Neural network algorithm Ada boost algorithm
ISSN:	0141-9331, 1872-9436
On-line přístup:	Získat plný text
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