登录 注册 会员服务 联系我们

Enhanced Oblique Decision Tree Enabled Policy Extraction for Deep Reinforcement Learning in Power System Emergency Control

  • Published:2022-08 Issue: Volume:209 Page:107932
  • ISSN:0378-7796
  • Container-title:Electric Power Systems Research
  • language:en
  • Short-container-title:Electric Power Systems Research

Author:

Dai Yuxin,Chen Qimei,Zhang Jun,Wang Xiaohui,Chen Yilin,Gao Tianlu,Xu Peidong,Chen Siyuan,Liao Siyang,Jiang Huaiguang,Gao David Wen-zhong

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference32 articles.

1. Toward self-driving processes: A deep reinforcement learning approach to control;Spielberg;AIChE journal,2019

2. Where does alphago go: From church-turing thesis to alphago thesis and beyond;Wang;IEEE/CAA Journal of Automatica Sinica,2016

3. Improved deep reinforcement learning for robotics through distribution-based experience retention;de Bruin,2016

4. Multi-task deep reinforcement learning for intelligent multi-zone residential HVAC control;Du;Electric Power Systems Research,2021

5. Real-time metadata-driven routing optimization for electric vehicle energy consumption minimization using deep reinforcement learning and markov chain model;Aljohani;Electric Power Systems Research,2021

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. Design of Interactive Teaching Platform for English Writing Based on Reinforcement Learning;Learning and Analytics in Intelligent Systems;2024

2. Explainable reinforcement learning (XRL): a systematic literature review and taxonomy;Machine Learning;2023-11-29

3. Autonomous Decision Control of Start-Stop Timing for Coal Mills;2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI);2023-11-07

4. Research status and evolution trends of emergency information resource management: Based on bibliometric analysis from 2003 to 2022;International Journal of Disaster Risk Reduction;2023-10

5. A multi-hierarchical interpretable method for DRL-based dispatching control in power systems;International Journal of Electrical Power & Energy Systems;2023-10
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