Search
CSV
RISTwo fast and accurate heuristic RBF learning rules for data classification
This paper presents new Radial Basis Function (RBF) learning methods for classification problems. The
proposed methods use some heuristics to determine the spreads, the centers and the number of hidden
neurons ...
برنامه ریزی توان راکتیو و انتخاب مکانهای کاندید با استفاده از بهینه سازی انبوه ذرات و دسته بندی طیفی
این مقاله رویکرد جدیدی را برای مدلسازی و حل مساله
برنامهریزی توان راکتیو با در نظرگرفتن پایداری ولتاژ
استاتیک پیشنهاد میدهد. در حل مساله برنامهریزی توان
راکتیو از مدل واقعی سیستم قدرت که یک سیستم ...
A fast static security assessment method based on radial basis function neural networks using enhanced clustering
Power system security is one of the major concerns in recent years due to the deregulation of power systems
which are forced to operate under stressed operating conditions. This paper presents an enhanced
radial ...
Fast Voltage and Power Flow Contingency Ranking Using Enhanced Radial Basis Function Neural Network
Deregulation of power system in recent years has changed static security assessment to the major concerns for which fast and accurate evaluation methodology is needed. Contingencies related to voltage violations and power ...
Reconstruction of Security region with high information content using effective attributes extraction
Secur ity region ‐ based power system operation guides operators in a fast and relevant decision ‐ making process as to what conditions r equire operators' actions. The
key to this approach is the manne r in which ...
Information extraction from effective descriptor variables in reconstruction of power system security region by considering correlation between loads
In a power network, timely and accurate security assessment has been noted
as the major concern of operators in secure operation of the power system.
In this paper, power system security region has been ...