Improving Disturbance Storm Time Index Prediction Using Linear and Nonlinear Parametric Models: A Comprehensive Analysis

Author:

Jawad MuhammadORCID,Rafique AbubakarORCID,Khosa Ikramullah,Ghous ImranORCID,Akhtar JahanzebORCID,Ali Sahibzada Muhammad

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Condensed Matter Physics,Nuclear and High Energy Physics

Cited by 10 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. Predictive Modelling Insights with Interpretable NARX - LIME for Geomagnetic Disturbance-Storm-Time Index;2024 IEEE 14th Symposium on Computer Applications & Industrial Electronics (ISCAIE);2024-05-24

2. A New Forest Growing Stock Volume Estimation Model Based on AdaBoost and Random Forest Model;Forests;2024-01-29

3. Short-Term Wind Energy Forecasting Using Deep Learning-Based Predictive Analytics;Computers, Materials & Continua;2022

4. A Novel Temporal Feature Selection Based LSTM Model for Electrical Short-Term Load Forecasting;IEEE Access;2022

5. Machine Learning and Deep Learning Techniques for Residential Load Forecasting: A Comparative Analysis;2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON);2021-11-15

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