Integrating Energy Datasets: the MDIO Format

Q3 Earth and Planetary Sciences First Break Pub Date : 2023-10-01 DOI:10.3997/1365-2397.fb2023084
Altay Sansal, Ben Lasscock, Alejandro Valenciano
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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.
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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。
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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
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