Smart power grid and cloud computing

Marković, Dragan; Živković, Dejan; Branovic, Irina; Popovic, Ranko; Cvetković, Dragan

doi:10.1016/j.rser.2013.03.068

Cited by 189 publications

(69 citation statements)

References 15 publications

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“…The controllers are connected via WAN links to the SCADA application running entirely in the cloud. These applications are commonly implemented using private or hybrid cloud architectures (IaaS cloud service) [18] [19].…”

Section: Cloud Computing Solutions In Smart Gridmentioning

confidence: 99%

See 1 more Smart Citation

Energy Efficiency in Smart Grid: A Prospective Study on Energy Management Systems

Loschi¹,

León²,

Iano³

et al. 2015

SGRE

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The term Smart Grid has become a term to represent the benefits of a smart and sophisticated electrical grid, which can meet various social expectations related to sustainability and energy efficiency. The Smart Grid promises to enable a better power management for energy utilities and consumers, to provide the ability to integrate the power grid, to support the development of micro grids, and to involve citizens in energy management with higher levels of responsibility. However, this context comes with potential pitfalls, such as vulnerabilities to cyber-security and privacy risks. In this article, a prospective study about energy management, and exploring critical issues of modeling of energy management systems in a context Smart. Grid is presented along with background of energy management systems. An analysis of the demand response condition is also presented. Finally, the advantages and disadvantages of the implementation of energy management systems, and a comparison with the Brazilian electricity system are discussed.

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Section: Cloud Computing Solutions In Smart Gridmentioning

confidence: 99%

“…Smart Grid will eventually be deployed across all types of infrastructure using widespread Internet of Services, connecting all smart objects worldwide. It will become the major application domain of the Internet of Things, perhaps even referred to as the Internet of Energy [19].…”

Section: Cloud Computing Solutions In Smart Gridmentioning

confidence: 99%

Energy Efficiency in Smart Grid: A Prospective Study on Energy Management Systems

Loschi¹,

León²,

Iano³

et al. 2015

SGRE

View full text Add to dashboard Cite

show abstract

“…Planned projects like power supply, transformer substation and grid are often difficult to be implemented because of the opposition of urban residents or forced to be adjusted because of changes of urban function positioning and industrial distribution. Frequent changes of distributing line and dilapidated power transmission corridors are extremely bad for the long-term and healthy development of urban power grid and municipal construction [1,2,3] .…”

Section: Introductionmentioning

confidence: 99%

A Method of Electricity Utilization Load Analysis and Visualization Based on Data Mining of Electric Power Big Data

Wang¹,

Sun²,

Li³

et al. 2017

dtetr

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Regional electricity utilization data is closely related to electrical load flow in terms of demand. The corresponding relation between electric power data and regional electricity load can be deeply analyzed through data mining technology in many aspects. Based on variation function theory and its structural analysis, the author realizes the unbiased optimal estimation on regional variations in finite regions through spatial local difference algorithm. According to the data of a number of known sample points in finite regions, a linear unbiased optimal estimation is carried out on unknown sample points after such things are taken into account as shape size and dimensional orientation of sample points, spatial position relation with unknown sample points and structural information provided by variation functions. The objective is to analyze real-time data of power operation with the combination of geographic information and to conclude the overall tendency of power demand so as to conclude the power demand tendency and social activity changes of an entire region and establish a demand model based on electric power data mining. The model is displayed through a new method of visualization based on authentic electric power data and GIS information.

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“…The interdependen cies between such parties are discussed in several pa pers, see e.g. [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

The cost for meeting SLA dependability requirements; implications for customers and providers

Folstad

Helvik

2016

Reliability Engineering & System Safety

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Smart power grid and cloud computing

Cited by 189 publications

References 15 publications

Energy Efficiency in Smart Grid: A Prospective Study on Energy Management Systems

Energy Efficiency in Smart Grid: A Prospective Study on Energy Management Systems

A Method of Electricity Utilization Load Analysis and Visualization Based on Data Mining of Electric Power Big Data

The cost for meeting SLA dependability requirements; implications for customers and providers

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