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Semi-supervised multi-task learning based framework for power system security assessment
DOI:10.1016/j.ijepes.2025.110910.png)
摘要
En 中文
• 基于深度学习的电力系统安全评估框架。
• 基于相似度指数模型拓扑感知。
• 多任务半监督学习算法以提高电力系统安全评估精度。
Keyword:
Machine learning
Multi-tasking training
Power system stability
Power system security assessment
期刊
I
IF:
5
论文数:
1.1W
被引数:
3.1W
机构
引用论文
Vulnerability Assessment of Deep Reinforcement Learning Models for Power System Topology Optimization面向电力系统拓扑优化的深度强化学习模型脆弱性评估
Real Time Security Assessment of the Power System Using a Hybrid Support Vector Machine and Multilayer Perceptron Neural Network Algorithms使用混合支持向量机和多层感知器神经网络算法对电力系统进行实时安全评估
SUSTAINABILITY
IF3.3

