Title | ||
---|---|---|
Learning enhanced differential evolution for tracking optimal decisions in dynamic power systems. |
Abstract | ||
---|---|---|
•Combining DE with nearest-neighbor rule.•Adaptive retrieval scheme.•Tracking optima of OPF in dynamic environments. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.asoc.2017.07.037 | Applied Soft Computing |
Keywords | Field | DocType |
Dynamic optimal power flow,Differential evolution,Learning,Evolutionary dynamic optimization | Mathematical optimization,Power flow,Ranking,Electric power system,Differential evolution,Dynamic demand,Artificial intelligence,Mathematics,Electricity generation,Machine learning | Journal |
Volume | ISSN | Citations |
67 | 1568-4946 | 0 |
PageRank | References | Authors |
0.34 | 16 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tao Zhu | 1 | 82 | 14.36 |
Yingjie Hao | 2 | 0 | 0.34 |
Wenjian Luo | 3 | 356 | 40.95 |
Huansheng Ning | 4 | 847 | 83.48 |