| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6860860 | International Journal of Electrical Power & Energy Systems | 2012 | 8 Pages |
Abstract
⺠We base on probability theory and factor analysis. ⺠We propose two stochastic techniques for estimation of the load-dependent energy losses. ⺠Energy losses are determined with sufficient accuracy and reliability for practical purposes. ⺠We reduce complexity of computations.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
I.V. Shulgin, A.A. Gerasimenko, Su Quan Zhou,