Medium- and long-term interval optimal scheduling of cascade hydropower-photovoltaic complementary systems considering multiple uncertainties-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Medium- and long-term interval optimal scheduling of cascade hydropower-photovoltaic complementary systems considering multiple uncertainties

Published:2024-01 Issue: Volume:353 Page:122085
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Lu Na,Wang Guangyan,Su Chengguo,Ren Zaimin,Peng Xiaoyue,Sui Quan

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference69 articles.

1. Committed emissions from existing energy infrastructure jeopardize 1.5°C climate target;Tong;Nature.,2019

2. Paris agreement climate proposals need a boost to keep warming well below 2°C;Rogelj;Nature.,2016

3. Roles of wind and solar energy in China’s power sector: implications of intermittency constraints;Zhou;Appl Energy,2018

4. Hydro-thermal-wind-photovoltaic coordinated operation considering the comprehensive utilization of reservoirs;Wang;Energ Conver Manage,2019

5. Design and operation optimization of city-level off-grid hydro–photovoltaic complementary system;Zhang;Appl Energy,2022

Cited by 11 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. Optimal scheduling of a cascade hydro-thermal-wind power system integrating data centers and considering the spatiotemporal asynchronous transfer of energy resources;Applied Energy;2025-01

2. Capacity configuration of cascaded hydro-wind-photovoltaic complementary systems considering comprehensive benefits based on a synergetic-orderly framework;Energy Conversion and Management;2024-11

3. Modelling long-term operational dynamics of grid-connected hydro- photovoltaic hybrid systems;Journal of Energy Storage;2024-10

4. Short-term optimal scheduling of wind-photovoltaic-hydropower-thermal-pumped hydro storage coupled system based on a novel multi-objective priority stratification method;Energy;2024-09

5. Deep learning models for multi-step prediction of water levels incorporating meteorological variables and historical data;Stochastic Environmental Research and Risk Assessment;2024-08-14

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