基于可再生能源的电力系统数据分析的兴趣

2019 Algerian Large Electrical Network Conference (CAGRE) Pub Date : 2019-02-01 DOI:10.1109/cagre.2019.8713310

A. Ameyoud, R. Touileb, M. Boudour

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引用次数: 0

摘要

总的来说，运行电力系统数据分析的影响可以表现为放弃旧的“范式”，即在效率和灵活性之间进行选择，或者至少将这种范式提升到一个新的水平。这种由作业人员为优化流程而进行的定期分析被机器学习算法所取代，机器学习算法使用在线数据来不断改进和优化流程。

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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Interest of Power System Data Analysis with Renewable Energy Sources

In general, the impact of the data analysis of operating power systems can be characterized by abandonment of the old “paradigm”, which consists of choosing between efficiency and flexibility, or at least to bring this paradigm to a new level. This periodic analyses done by the operator staff to optimize processes are replaced by machine learning algorithms, using online data that will continually refine and optimize processes.

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2019 Algerian Large Electrical Network Conference (CAGRE)

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