Big data analytics for future electricity grids
Big data analytics for future electricity grids
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DOI：
10.1016/j.epsr.2020.106788
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发表时间：
2020-12
影响因子：
3.9
通讯作者：
M. Kezunovic;P. Pinson;Z. Obradovic;S. Grijalva;Tao Hong;R. Bessa
中科院分区：
文献类型：
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作者：
M. Kezunovic;P. Pinson;Z. Obradovic;S. Grijalva;Tao Hong;R. Bessa
本文对大数据分析应用程序和相关实施问题进行了调查。重点放在新颖且已证明对行业有价值的应用程序（如现场数据和实际应用程序所示）。本文反思了从最初实施中汲取的经验教训以及有待探索的想法。概述了文献中处理的各种数据科学趋势，同时强调了在电网环境中应用它们的经验，为未来的应用铺平道路。本文最后提出了机遇和挑战，以及实现有效成果的实施目标和战略。
This paper provides a survey of big data analytics applications and associated implementation issues. The emphasis is placed on applications that are novel and have demonstrated value to the industry, as illustrated using field data and practical applications. The paper reflects on the lessons learned from initial implementations, as well as ideas that are yet to be explored. The various data science trends treated in the literature are outlined, while experiences from applying them in the electricity grid setting are emphasized to pave the way for future applications. The paper ends with opportunities and challenges, as well as implementation goals and strategies for achieving impactful outcomes.