<i>Call for Special Issue Papers:</i> Cloud Computing and Big Data for Cognitive IoT

Verdú, Elena; Nieto, Yuri Vanessa; Saleem, Nasir

doi:10.1089/big.2021.29048.cfp

Cited by 2 publications

(2 citation statements)

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“…The algorithm first determines the power balance of each distribution provider (such as the State Grid and renewable energy suppliers) by analyzing the load sharing relationship between different access servers and the central station and between each end user. Secondly, after the power required by each user is maximized according to the local optimal solution, the global optimal control is carried out for the whole distributed energy system, and the voltage deviation of the power supply and the generator set under the load at a single node is solved by the piecewise equilibrium state method [13][14].…”

Section: Distributed Energy Detectionmentioning

confidence: 99%

Optimization of Distributed System Energy Detection Method Considering Cloud Computing

2022

DPS

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Distributed power generation is a new type of renewable energy that can improve energy utilization efficiency and reduce environmental pollution. Its power generation mode is wind power, photovoltaic and cogeneration. This paper introduces the problems faced by the application of cloud computing system in power network and studies its solutions. Aiming at the shortcomings of the traditional uncertainty analysis method based on the node voltage, such as low accuracy and easy loss of data, an improved algorithm is proposed to improve the power quality of the node and improve the global resource utilization ratio, combining with the characteristics of distributed power generation. After that, the energy detection method of the system is tested. The test results show that the distributed energy system has short detection time and low average detection time, which indicates that the distributed energy system has fast energy detection time, good performance, high detection power and low error rate.

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Section: Distributed Energy Detectionmentioning

confidence: 99%

Optimization of Distributed System Energy Detection Method Considering Cloud Computing

2022

DPS

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“…Control user operation rights through user roles, permissions, etc., to prevent users from overstepping their authority to operate, data tampering; the existence of deliberate destruction of system data information, the need for timely backup of relevant business data, encryption of data processing. Also focus on the use of operation logs for user operation of core functional modules to facilitate timely repair of abnormal problems after they occur [14][15].…”

Section: Performance Requirements Analysis Of CD Intelligence Detecti...mentioning

confidence: 99%

Cloud Data Intelligence Detection Based on Decision Tree Algorithm

2020

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At present, many countries and regions are strengthening the construction of digital cities, expecting to obtain valuable intelligence from big data by means of information technology, and the massive accumulated security video and alarm information can be analyzed to discover the laws of the data and form correlated data to provide reference for police work. In this paper, from the actual needs of intelligence analysis, cloud computing and big data technology is used to design a cloud data(CD) intelligence investigation system(IIS) to meet the requirements of information development, by building an intelligence information center, using decision tree algorithm(DTA) to analyze and classify massive data, solve the problem of insufficient human resources for on-site investigation, effectively improve the efficiency of investigation and crime solving, and provide technical support for the construction of a harmonious and stable social environment.

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Call for Special Issue Papers: Cloud Computing and Big Data for Cognitive IoT

Cited by 2 publications

References 0 publications

Optimization of Distributed System Energy Detection Method Considering Cloud Computing

Optimization of Distributed System Energy Detection Method Considering Cloud Computing

Cloud Data Intelligence Detection Based on Decision Tree Algorithm

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