Decomposition prediction fractional-order PID reinforcement learning for short-term smart generation control of integrated energy systems-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Decomposition prediction fractional-order PID reinforcement learning for short-term smart generation control of integrated energy systems

Published:2024-02 Issue: Volume:355 Page:122246
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Yin Linfei,Zheng Da

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangxi Province

Publisher

Elsevier BV

Subject

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

Reference63 articles.

1. Achieving net-zero emissions in China’s passenger transport sector through regionally tailored mitigation strategies;Bu;Appl Energy,2021

2. Cyber-attack against heating system in integrated energy systems: model and propagation mechanism;Ding;Appl Energy,2022

3. Reliability tracing of the integrated energy system using the improved shapley value;Cao;Energy,2022

4. Optimal integrated energy system planning with DG uncertainty affine model and carbon emissions charges;Ge;IEEE Trans Sustain Energy,2021

5. Demand response comprehensive incentive mechanism-based multi-time scale optimization scheduling for park integrated energy system;Wang;Energy,2023

Cited by 2 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. Fractional-order transfer Q-learning based on modal decomposition and convolutional neural networks for voltage control of smart grids;Advanced Engineering Informatics;2024-10

2. A novel controllable bias reinforcement learning method for distributed automatic generation control integrated with large-scale electric vehicles;Electric Power Systems Research;2024-07

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