Integrating Energy Datasets: the MDIO Format

Q3 Earth and Planetary Sciences
Altay Sansal, Ben Lasscock, Alejandro Valenciano
{"title":"Integrating Energy Datasets: the MDIO Format","authors":"Altay Sansal, Ben Lasscock, Alejandro Valenciano","doi":"10.3997/1365-2397.fb2023084","DOIUrl":null,"url":null,"abstract":"MDIO offers a technical solution for storing and retrieving energy data in the cloud and on-premises. As an open-source framework, it incorporates high-resolution, multi-dimensional arrays that accurately represent wind resources and seismic data for multiple applications. By utilising the Zarr format, MDIO ensures efficient chunked storage and parallel I/O operations, facilitating easy data interaction in diverse infrastructures. This paper covers MDIO’s application in renewable energy (wind simulations), predictive analytics, and seismic imaging and interpretation, aiming to provide a robust technical platform for researchers navigating the evolving energy landscape.","PeriodicalId":35692,"journal":{"name":"First Break","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"First Break","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3997/1365-2397.fb2023084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

MDIO offers a technical solution for storing and retrieving energy data in the cloud and on-premises. As an open-source framework, it incorporates high-resolution, multi-dimensional arrays that accurately represent wind resources and seismic data for multiple applications. By utilising the Zarr format, MDIO ensures efficient chunked storage and parallel I/O operations, facilitating easy data interaction in diverse infrastructures. This paper covers MDIO’s application in renewable energy (wind simulations), predictive analytics, and seismic imaging and interpretation, aiming to provide a robust technical platform for researchers navigating the evolving energy landscape.
整合能源数据集:MDIO格式
MDIO提供了在云和本地存储和检索能源数据的技术解决方案。作为一个开源框架,它结合了高分辨率、多维阵列,可以准确地表示多种应用的风力资源和地震数据。通过使用Zarr格式,MDIO确保了高效的块存储和并行I/O操作,促进了不同基础设施中的轻松数据交互。本文涵盖了MDIO在可再生能源(风模拟)、预测分析、地震成像和解释方面的应用,旨在为研究人员提供一个强大的技术平台,帮助他们了解不断变化的能源格局。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
First Break
First Break Earth and Planetary Sciences-Geophysics
CiteScore
1.40
自引率
0.00%
发文量
98
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信