scholarly journals Power Consumption prediction of IoT application Protocols Based on Linear Regression

2021 ◽  
Vol 11 (2) ◽  
pp. 0-0
Keyword(s):  
Linear Regression ◽  
Power Consumption ◽  
Smart Grids ◽  
Smart Cities ◽  
Data Communications ◽  
Iot Applications ◽  
Access To Data ◽  
Application Protocols ◽  
Power Consumption Prediction ◽  
Consumption Prediction

The advent of the Internet of Things (IoT) augurs new cutting-edge applications in modern life such as smart cities and smart grids. These applications require protocols more efficient for ensuring the reliability of data communications in the IoT networks. Many works state that IoT cannot meet their demands without application protocols improvement with Artificial Intelligence (AI) as IoT are expected to generate unprecedented traffic giving IoT researchers access to data that can help in studying and analyzing the demands and develop application protocols conceptions to meet the requirement of IoT applications. In literature, several works introduced AI in some layers of the TCP/IP model including wireless communication and routing. In this article, an evaluation of application protocols HTTP, MQTT, DDS, XMPP, AMQP, and CoAP has been presented; and subsequently, the power consumption prediction of MQTT and COAP based on the linear regression model is analyzed, in order to enhance data communications in IoT applications.

Power Consumption Prediction Modeling of Cement Manufacturing Based on the Improved Multiple Non-Linear Regression Algorithm

2014 ◽  
Vol 687-691 ◽  
pp. 5185-5189 ◽  
Author(s):  
Hui Zhao ◽  
Ning Zhang ◽  
Hong Jun Wang
Keyword(s):  
Linear Regression ◽  
Power Consumption ◽  
Prediction Models ◽  
Principal Component ◽  
Key Factors ◽  
Factors Affecting ◽  
Non Linear ◽  
Cement Manufacturing ◽  
Power Consumption Prediction ◽  
Consumption Prediction

The principal component analysis (PCA) is applied in this paper, since the existing power consumption prediction models of cement manufacturing influenced by many factors are quite complex and have low accuracy. In this way, four new key factors affecting the power consumption of cement manufacturing are obtained instead of the eleven original ones, with the complexity of the computing model simplified. Built upon this is the power consumption prediction model of cement manufacturing based on an improved multiple non-linear regression algorithm. Then the efficiency of the model, obviously improved the forecasting precision, is verified in Pingyi Zhonglian Cement Plant. In other words, a theoretical basis for cement plants power consumption forecasting management is provided in this paper.

Pre-execution power consumption prediction of computational multithreaded workloads

2014 ◽  
Vol 17 (4) ◽  
pp. 1323-1333 ◽  
Author(s):  
Hamid Fadishei ◽  
Hossein Deldari ◽  
Mahmoud Naghibzadeh
Keyword(s):  
Power Consumption ◽  
Multithreaded Workloads ◽  
Power Consumption Prediction ◽  
Consumption Prediction

scholarly journals Internet of Things Applications as Energy Internet in Smart Grids and Smart Environments

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 972 ◽  
Author(s):  
Yasin Kabalci ◽  
Ersan Kabalci ◽  
Sanjeevikumar Padmanaban ◽  
Jens Bo Holm-Nielsen ◽  
Frede Blaabjerg
Keyword(s):  
Internet Of Things ◽  
Smart Grids ◽  
Smart Cities ◽  
Future Research ◽  
Smart Environments ◽  
Important Research ◽  
Energy Internet ◽  
Iot Applications ◽  
Research Areas ◽  
Open Issues

Energy Internet (EI) has been recently introduced as a new concept, which aims to evolve smart grids by integrating several energy forms into an extremely flexible and effective grid. In this paper, we have comprehensively analyzed Internet of Things (IoT) applications enabled for smart grids and smart environments, such as smart cities, smart homes, smart metering, and energy management infrastructures to investigate the development of the EI based IoT applications. These applications are promising key areas of the EI concept, since the IoT is considered one of the most important driving factors of the EI. Moreover, we discussed the challenges, open issues, and future research opportunities for the EI concept based on IoT applications and addressed some important research areas.

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