A Novel Renewable Power Generation Prediction Through Enhanced Artificial Orcas Assisted Ensemble Dilated Deep Learning Network-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A Novel Renewable Power Generation Prediction Through Enhanced Artificial Orcas Assisted Ensemble Dilated Deep Learning Network

Published:2024 Issue: Volume:12 Page:44207-44223
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Che Zhifeng¹,Amirthasaravanan A.²,Al-Razgan Muna³^ORCID,Awwad Emad Mahrous⁴^ORCID,Mohamed Mohamed Yasin Noor⁵,Tyagi Vaibhav Bhushan⁶^ORCID

Affiliation:

1. Xinxiang Vocational and Technical College, Xinxiang, Henan, China

2. Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India

3. Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

4. Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh, Saudi Arabia

5. Department of Mathematics and Information Technology, Sultan Qaboos University, Seeb, Muscat, Oman

6. Faculty of Engineering, ISBAT University, Kampala, Uganda

Funder

Deputyship for Research and Innovation, Ministry of Education, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10466558.pdf?arnumber=10466558

Reference40 articles.

1. Toward Application of Continuous Power Forecasts in a Regional Flexibility Market

2. Short-Term Wind Power Forecasting by a Long Short Term Memory Ensemble Approach

3. A Comprehensive Analysis of Recent Advances in Deep Learning based Solar Irradiance Forecasting

4. A New Data Driven Long-Term Solar Yield Analysis Model of Photovoltaic Power Plants

5. Deep Reinforcement Learning-Based Fast Prediction of Strategies for Security Control

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