将数据转化为知识:数字公用事业中分布式能源的大数据分析

IF 2.5 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Electrification Magazine Pub Date : 2022-12-01 DOI:10.1109/MELE.2022.3211019

Arnie de Castro, Ashley Mui, Garrett Frere

引用次数: 1

摘要

在本文中，作者讨论了大数据分析与表后(BTM)分布式能源(DERs)的应用，以管理丰富的数据，提供更好的客户服务，改进运营，并在日益数字化的电网中降低成本。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Turning Data into Knowledge: Big data analytics with behind-the-meter distributed energy resources in the digital utility

In this article, the authors discuss the applications of big data analytics with behind-the-meter (BTM) distributed energy resources (DERs) to manage the abundance of data, provide better customer care, improve operations, and reduce costs in the increasingly digitized grid.

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来源期刊

IEEE Electrification Magazine ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

5.80

自引率

0.00%

发文量

期刊介绍： IEEE Electrification Magazine is dedicated to disseminating information on all matters related to microgrids onboard electric vehicles, ships, trains, planes, and off-grid applications. Microgrids refer to an electric network in a car, a ship, a plane or an electric train, which has a limited number of sources and multiple loads. Off-grid applications include small scale electricity supply in areas away from high voltage power networks. Feature articles focus on advanced concepts, technologies, and practices associated with all aspects of electrification in the transportation and off-grid sectors from a technical perspective in synergy with nontechnical areas such as business, environmental, and social concerns.