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Short term load forecasting (STLF) is an important process in electric power operation and control system. Support Vector Regression (SVR) is proved to be a successful application in STLF, and can get great accuracy and efficiency compared to other STLF models. However, when deal large scale sample size, SVR is poor on the performance. With the development of cloud computing, it is changing people's...
Aimed at large, sparse eigenvalue problems in modal analysis of engineering structures, some predominant algorithms and their corresponding software packages are summarized. A parallel solving system was constructed via integrating these software packages into the finite-element parallel computing framework-PANDA. The finite element model (FEM) of engineering structures was built in pre-processing...
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