A data-driven long-term metocean data forecasting approach for the design of marine renewable energy systems-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A data-driven long-term metocean data forecasting approach for the design of marine renewable energy systems

Published:2022-10 Issue: Volume:167 Page:112751
ISSN:1364-0321
Container-title:Renewable and Sustainable Energy Reviews
language:en
Short-container-title:Renewable and Sustainable Energy Reviews

Author:

Penalba Markel,Aizpurua Jose Ignacio,Martinez-Perurena Ander,Iglesias Gregorio

Funder

Eusko Jaurlaritza

Agencia Estatal de Investigación

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference41 articles.

1. Energy production and consumption;Ritchie,2021

2. Global warming of 1.5°C;IPCC,2018

3. Future of wind: Deployment, investment, grid integration and socio-economic aspects (A Global Energy Transformation paper);IRENA,2019

4. Ocean Energy Europe. 2030 ocean energy vision. Tech. Rep., 2020, URL.

5. NREL. Marine energy in the United States: An overview of opportunities. Tech. Rep. February, 2021, URL.

Cited by 21 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. Probabilistic feature selection for improved asset lifetime estimation in renewables. Application to transformers in photovoltaic power plants;Engineering Applications of Artificial Intelligence;2024-05

2. A novel machine-learning based prediction model for ship manoeuvring emissions by using bridge simulator;Ocean Engineering;2024-01

3. Bias correction techniques for uncertainty reduction of long-term metocean data for ocean renewable energy systems;Renewable Energy;2023-12

4. Towards data-driven and data-based control of wave energy systems: Classification, overview, and critical assessment;Renewable and Sustainable Energy Reviews;2023-12

5. Optimum Load Forecasting Model-Based Intelligent Residential System Using Machine Learning Algorithms;2023 2nd International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE);2023-11-27

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