机译:电力系统安全规则提取和嵌入的稀疏斜决策树
Tsinghua Univ Dept Elect Engn State Key Lab Power Syst Beijing 100084 Peoples R China|Int Joint Lab Low Carbon Clean Energy Innovat Beijing Peoples R China;
Tsinghua Univ Dept Elect Engn State Key Lab Power Syst Beijing 100084 Peoples R China|Int Joint Lab Low Carbon Clean Energy Innovat Beijing Peoples R China;
Univ Washington Dept Elect & Comp Engn Seattle WA 98195 USA;
Tsinghua Univ Dept Elect Engn State Key Lab Power Syst Beijing 100084 Peoples R China|Int Joint Lab Low Carbon Clean Energy Innovat Beijing Peoples R China;
Tsinghua Univ Dept Elect Engn State Key Lab Power Syst Beijing 100084 Peoples R China|Int Joint Lab Low Carbon Clean Energy Innovat Beijing Peoples R China|Alibaba Grp Hangzhou 311121 Peoples R China;
Tsinghua Univ Dept Elect Engn State Key Lab Power Syst Beijing 100084 Peoples R China|Int Joint Lab Low Carbon Clean Energy Innovat Beijing Peoples R China;
Security; Decision trees; Power system stability; Economics; Sparse matrices; Optimization; Renewable energy sources; Data-driven; High renewable penetration; Oblique decision tree; Power system security; Sparsity; rules extraction; security-constrained economic dispatch; security-constrained optimal power flow;
机译:决策树的规则提取集成:基于启发式搜索和稀疏组套索方法的新算法
机译:基于决策树的安全性提取规则分类方法
机译:利用主成分分析和决策树的基于PMU的电力系统电压安全评估
机译:不完全信息系统决策树与分类规则提取的构建方法
机译:使用同步相量测量和决策树进行电力系统在线安全评估。
机译:使用最佳实践从成熟的临床系统中提取组织和重用嵌入式决策支持内容知识规则
机译:选择系统下自然林树标记决策规则的提取