Power-Management Strategies for a Grid-Connected PV-FC Hybrid System

Riyaz, Sk.; Kumar, K. Sathish

doi:10.18535/ijecs/v4i8.64

Cited by 2 publications

(2 citation statements)

References 10 publications

(5 reference statements)

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“…To address load scalability, FCE uses MapReduce framework [59] at the processing layer to process data. MapReduce is used for parallel processing of large volumes of data stored in HDFS or HBase through multiple nodes in a cluster.…”

Section: Fce For Volumementioning

confidence: 99%

On Big Data Forensic - A Case For Forensic Cloud Environment

Tabona¹,

Maupong²,

Ramokapane³

et al. 2020

Preprint

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Background The high rise in electronic devices in modern-day society has resulted in crimes in cyber-related crimes as criminals resort to hacking, illegal use of these devices. This is primarily due to perceived high rewards and low chances of being apprehended. The rise in cyber crimes poses a significant challenge to forensic investigators as now they have to process huge volumes of data from a variety of sources within a limited time. This results in investigators taking longer to process cases and in some instances missing links as they deal with data from a variety of sources. Findings In this paper, we provide a definition of big data forensics, and then we discuss the challenges associated with digital forensics investigations when dealing with big data. We provide details on how volume, variety, and velocity all pose a huge challenge in digital forensics investigations. We then discuss how a novel solution called Forensic Cloud Environment (FCE) leverages the power of Hadoop, HBase, and MapReduce to provide a solution for big data forensic challenges. Conclusion In conclusion, the fact that FCE provides an environment to store huge volumes of data from a variety of sources allows for an improved processing time of data. Hence, providing an environment for big data forensics for the future.

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Section: Fce For Volumementioning

confidence: 99%

On Big Data Forensic - A Case For Forensic Cloud Environment

Tabona¹,

Maupong²,

Ramokapane³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Additionally, it could result in malfunctioning relays, mains, and other control equipment. Therefore, it is crucial to reduce the impact of the harmonics that are generated from the presence of PV inverter [6], [7].…”

Section: Introductionmentioning

confidence: 99%

A review of application of artificial intelligence for space vector pulse width modulated inverter-based grid interfaced photovoltaic system

Jaidi,

Mehta

2023

IJAPE

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<p><span lang="EN-US">Artificial intelligence (AI) is being proposed for a range of subfields that deal with photovoltaic (PV) systems as a result of improvements in computer power, tool accessibility, and data generation. The methods employed at present in the PV industry for a variety of tasks, including the outcomes of design, forecasting, control, and maintenance, have been found to be relatively inaccurate. Additionally, the use of AI to carry out these tasks has improved in terms of accuracy and precision, which has made the topic itself highly interesting. In light of this, the goal of this article is to examine the effect AI approaches have on the solar value chain. The article involves creating a map of all currently accessible AI technologies, identifying potential future uses for AI, and weighing the advantages and disadvantages of these technologies’ relative to more conventional approaches. This article lays special emphasis on discussing AI techniques for improving the power quality in grid systems involving space vector pulse width modulated inverters interfacing the photovoltaic to the grid along with power converter defect monitoring, filter flaw detection, and battery monitoring.</span></p>

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Power-Management Strategies for a Grid-Connected PV-FC Hybrid System

Cited by 2 publications

References 10 publications

On Big Data Forensic - A Case For Forensic Cloud Environment

On Big Data Forensic - A Case For Forensic Cloud Environment

A review of application of artificial intelligence for space vector pulse width modulated inverter-based grid interfaced photovoltaic system

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