Development and Validation of Artificial Neural Network-Based Tools for Forecasting of Power System Inertia With Wind Farms Penetration

Author:

Paidi E. S. N. RajuORCID,Marzooghi HesamoddinORCID,Yu James,Terzija Vladimir

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Cited by 38 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Equivalent inertia prediction for power systems with virtual inertia based on PSO-SVM;Electrical Engineering;2024-08-28

2. Artificial neural network-based method for overhead lines magnetic flux density estimation;Journal of Electrical Engineering;2024-06-01

3. Interpretable XGBoost Based Cold Load Pickup Behavior Identification Method;2024 IEEE 7th International Electrical and Energy Conference (CIEEC);2024-05-10

4. Inertia Forecasting using Hybrid Machine Learning;2024 1st International Conference on Innovative Sustainable Technologies for Energy, Mechatronics, and Smart Systems (ISTEMS);2024-04-26

5. A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case;International Journal of Electrical Power & Energy Systems;2024-02

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3