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Multi-task learning for solving OPF in an evolving environment

delete2025-12-04
delete0
PRE
AI
Y
Yixiong Jia
Y
Yi Wang
Y
Yao Zhou *
DOI：10.1016/j.apenergy.2025.127174delete
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摘要

摘要

En 中文
• 为解决数据集不平衡挑战：我们提出了一种基于错误的过采样方法，以平衡每个场景的训练样本并避免有偏训练。 • 为解决弱相关性挑战：我们提出了一种多任务学习框架，以实现在四个场景间的知识迁移。 • 为进一步平衡训练过程：我们采用了自适应权重算法来平衡训练过程。这通过为每个训练样本单独应用可训练权重来实现。

期刊

Applied Energy 封面图
Applied Energy
IF:
11
论文数:
2.6W
被引数:
17.8W

机构

J
Jiangnan University
学者数:
3.9W
论文数: 2.7W
被引数: 4.7W
T
The University of Hong Kong
学者数:
6.6K
论文数: 3.2K
被引数: 7
引用论文

引用论文

A Two-Stage Approach for Topology Change-Aware Data-Driven OPF一种考虑拓扑变化的两阶段数据驱动最优潮流方法
errIEEE Transactions on Power Systems
IF0
err2025-03-01
err0
PREAI
errJia,Yixiong; Wu,Xian; Yang,Zhifang; Wang,Yi
err分享
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Topology-Aware Graph Neural Networks for Learning Feasible and Adaptive AC-OPF Solutions用于学习可行和自适应ac-opf解决方案的拓扑感知图神经网络
errIEEE TRANSACTIONS ON POWER SYSTEMS
IF7.2
err2023-11-01
err23
errOAAI
errLiu, Shaohui; Wu, Chengyang; Zhu, Hao
err分享
err收藏
Hybrid Learning Aided Inactive Constraints Filtering Algorithm to Enhance AC OPF Solution Time
errIEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
IF4.5
err2021-03-01
err29
errOAAI
errHasan, Fouad; Kargarian, Amin; Mohammadi, Javad
err分享
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Machine learning driven smart electric power systems: Current trends and new perspectives机器学习驱动的智能电力系统: 当前趋势和新视角
errAPPLIED ENERGY
IF11
err2020-08-01
err189
PREAI
errIbrahim, Muhammad Sohail; Dong, Wei; Yang, Qiang
err分享
err收藏
Data Augmentation for Data-Driven Methods in Power System Operation: A Novel Framework Using Improved GAN and Transfer Learning电力系统运行中数据驱动方法的数据增强: 使用改进的GAN和迁移学习的新框架
errIEEE TRANSACTIONS ON POWER SYSTEMS
IF7.2
err2024-09-01
err3
PREAI
errLan, Jian; Zhou, Yanzhen; Guo, Qinglai; Sun, Hongbin
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Real-Time Optimal Power Flow With Linguistic Stipulations: Integrating GPT-Agent and Deep Reinforcement Learning具有语言规定的实时最佳功率流: 集成gpt-agent和深度强化学习
errIEEE TRANSACTIONS ON POWER SYSTEMS
IF7.2
err2024-03-01
err4
PREAI
errYan, Ziming; Xu, Yan
err分享
err收藏
OptNet-Embedded Data-Driven Approach for Optimal Power Flow Proxy
errIEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
IF4.5
err2025-01-01
err0
PREAI
errJia, Yixiong; Su, Yiqin; Wang, Chenxi; Wang, Yi
err分享
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Neural networks for power flow: Graph neural solver用于潮流的神经网络: 图形神经求解器
errELECTRIC POWER SYSTEMS RESEARCH
IF4.2
err2020-12-01
err63
errOAAI
errDonon, Balthazar; Clement, Remy; Donnot, Benjamin; Marot, Antoine; Guyon, Isabelle; Schoenauer, Marc
err分享
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Feasibility Constrained Online Calculation for Real-Time Optimal Power Flow: A Convex Constrained Deep Reinforcement Learning Approach
errIEEE TRANSACTIONS ON POWER SYSTEMS
IF7.2
err2023-11-01
err26
PREAI
errSayed, Ahmed Rabee; Wang, Cheng; Anis, Hussein I.; Bi, Tianshu
err分享
err收藏
Gaussian Process Learning-Based Probabilistic Optimal Power Flow
errIEEE TRANSACTIONS ON POWER SYSTEMS
IF7.2
err2021-01-01
err28
errOAAI
errPareek, Parikshit; Nguyen, Hung D.
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