Forecasting Regional Level Solar Power Generation Using Advanced Deep Learning Approach-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Forecasting Regional Level Solar Power Generation Using Advanced Deep Learning Approach

Published:2021-07-18 Issue: Volume: Page:
ISSN:
Container-title:2021 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Almaghrabi Sarah,Rana Mashud,Hamilton Margaret,Rahaman Mohammad Saiedur

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9533266/9533267/09533458.pdf?arnumber=9533458

Cited by 7 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. Predicting Solar and Wind Power Production with the Weather Map Data Approach;2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT);2024-07-04

2. Advancing solar energy integration: Unveiling XAI insights for enhanced power system management and sustainable future;Ain Shams Engineering Journal;2024-06

3. Machine Learning Models for Regional Photovoltaic Power Generation Forecasting with Limited Plant-Specific Data;Energies;2024-05-13

4. Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data;Applied Energy;2024-05

5. Multivariate solar power time series forecasting using multilevel data fusion and deep neural networks;Information Fusion;2024-04

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