Interest of Power System Data Analysis with Renewable Energy Sources

被引：0
|
作者：
Ameyoud, A. [1 ]
Touileb, R. [2 ]
Boudour, M. [3 ]
机构：
[1] Operateur Syst Elect, Algiers, Algeria
[2] Expert Energie, Gap, France
[3] Univ Sci & Technol Houari Boumediene, Bab Ezzouar, Algeria
来源：
PROCEEDINGS OF 2019 ALGERIAN LARGE ELECTRICAL NETWORK CONFERENCE (CAGRE) | 2019年
关键词：
Data Analysis; Renewable energy; load prediction; power system planning;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：164 / 169
页数：6
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