Big Data Management in Smart Grids: Technologies and Challenges
<p>Smart grids are re-engineering the electricity transmission and distribution system throughout the world. It is an amalgam of increased digital information with the electrical power grids. Managing the data generated from the grid efficiently is the key to successful knowledge extraction fr...
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| مؤلفون آخرون: | , , , , |
| منشور في: |
2021
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| الموضوعات: | |
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| _version_ | 1864513562750222336 |
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| author | Ameema Zainab (16864263) |
| author2 | Ali Ghrayeb (16864266) Dabeeruddin Syed (16864260) Haitham Abu-Rub (16855500) Shady S. Refaat (16864269) Othmane Bouhali (8252544) |
| author2_role | author author author author author |
| author_facet | Ameema Zainab (16864263) Ali Ghrayeb (16864266) Dabeeruddin Syed (16864260) Haitham Abu-Rub (16855500) Shady S. Refaat (16864269) Othmane Bouhali (8252544) |
| author_role | author |
| dc.creator.none.fl_str_mv | Ameema Zainab (16864263) Ali Ghrayeb (16864266) Dabeeruddin Syed (16864260) Haitham Abu-Rub (16855500) Shady S. Refaat (16864269) Othmane Bouhali (8252544) |
| dc.date.none.fl_str_mv | 2021-05-14T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2021.3080433 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Big_Data_Management_in_Smart_Grids_Technologies_and_Challenges/24042465 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Information and computing sciences Data management and data science Distributed computing and systems software Apache spark Big Data Companies Cloud computing Data mining Data models Hadoop Indexing Management process Predictive models Smart grids Smart grid Stream mining |
| dc.title.none.fl_str_mv | Big Data Management in Smart Grids: Technologies and Challenges |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>Smart grids are re-engineering the electricity transmission and distribution system throughout the world. It is an amalgam of increased digital information with the electrical power grids. Managing the data generated from the grid efficiently is the key to successful knowledge extraction from the smart grid big data. Most of the scientific advancements are becoming data-driven and becoming an interesting area of research for data scientists. It is challenging the world computationally enough to develop new storage methods and data processing technologies. Managing big data involves data cleaning, integration of varied data sources, and decision-making applications. This paper focuses on the study of big data management and proposes a management process to help manage the data in the grid. Data management tools and techniques have been leveraged in understanding the sources and data types in the grid. The paper emphasizes the limitations of the existing solutions inclined towards applications of the smart grid big data.</p><h2>Other Information</h2><p>Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2021.3080433" target="_blank">https://dx.doi.org/10.1109/access.2021.3080433</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_c82efec257eb4403b87b99df79f9d586 |
| identifier_str_mv | 10.1109/access.2021.3080433 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24042465 |
| publishDate | 2021 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Big Data Management in Smart Grids: Technologies and ChallengesAmeema Zainab (16864263)Ali Ghrayeb (16864266)Dabeeruddin Syed (16864260)Haitham Abu-Rub (16855500)Shady S. Refaat (16864269)Othmane Bouhali (8252544)Information and computing sciencesData management and data scienceDistributed computing and systems softwareApache sparkBig DataCompaniesCloud computingData miningData modelsHadoopIndexingManagement processPredictive modelsSmart gridsSmart gridStream mining<p>Smart grids are re-engineering the electricity transmission and distribution system throughout the world. It is an amalgam of increased digital information with the electrical power grids. Managing the data generated from the grid efficiently is the key to successful knowledge extraction from the smart grid big data. Most of the scientific advancements are becoming data-driven and becoming an interesting area of research for data scientists. It is challenging the world computationally enough to develop new storage methods and data processing technologies. Managing big data involves data cleaning, integration of varied data sources, and decision-making applications. This paper focuses on the study of big data management and proposes a management process to help manage the data in the grid. Data management tools and techniques have been leveraged in understanding the sources and data types in the grid. The paper emphasizes the limitations of the existing solutions inclined towards applications of the smart grid big data.</p><h2>Other Information</h2><p>Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2021.3080433" target="_blank">https://dx.doi.org/10.1109/access.2021.3080433</a></p>2021-05-14T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2021.3080433https://figshare.com/articles/journal_contribution/Big_Data_Management_in_Smart_Grids_Technologies_and_Challenges/24042465CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/240424652021-05-14T00:00:00Z |
| spellingShingle | Big Data Management in Smart Grids: Technologies and Challenges Ameema Zainab (16864263) Information and computing sciences Data management and data science Distributed computing and systems software Apache spark Big Data Companies Cloud computing Data mining Data models Hadoop Indexing Management process Predictive models Smart grids Smart grid Stream mining |
| status_str | publishedVersion |
| title | Big Data Management in Smart Grids: Technologies and Challenges |
| title_full | Big Data Management in Smart Grids: Technologies and Challenges |
| title_fullStr | Big Data Management in Smart Grids: Technologies and Challenges |
| title_full_unstemmed | Big Data Management in Smart Grids: Technologies and Challenges |
| title_short | Big Data Management in Smart Grids: Technologies and Challenges |
| title_sort | Big Data Management in Smart Grids: Technologies and Challenges |
| topic | Information and computing sciences Data management and data science Distributed computing and systems software Apache spark Big Data Companies Cloud computing Data mining Data models Hadoop Indexing Management process Predictive models Smart grids Smart grid Stream mining |