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In addition to random power fluctuation, the unpredictable high ramp rate is another uncertainty of Photovoltaic (PV) power output. It increases the requirement of both the amount and response speed of operation reserves at different time scale in the grid. The fast fluctuation of PV needs to be compensated by frequent ramp up and down reserves. Traditional generators will face heavy wear and tear...
Many computer vision problems can be posed as learning a low-dimensional subspace from high-dimensional data. The low rank matrix factorization (LRMF) represents a commonly utilized subspace learning strategy. Most of the current LRMF techniques are constructed on the optimization problems using $L_{1}$ -norm and $L_{2}$ -norm losses, which mainly deal with the Laplace and Gaussian noises, respectively...
In view of the the current backward technology in the production and development of the domestic coach, to medium-sized coach as the research object, embarks from the reality, full consideration of this type of all kinds of requirements, the reasonable selection of engine type, establish the vehicle dynamic simulation model, the simulation results showed that the type of engine matching the medium-sized...
Automatic recognition of skin symptom plays an importance role in the skin diagnosis and treatment. Feature selection is to increase the classification performance of skin symptom. In this paper, the effects of feature selection on the classification of 4-class skin symptoms (chloasma, blackhead, freckled and comedone) are analyzed. Support vector machine (SVM) is employed to construct classifier,...
After analysis of the data from Dalian bus IC card database, the paper propose an optimization algorithm for bus scheduling. By introducing an artificial immune algorithm based on information entropy, the optimal or the quasi-optimal solution to this multi-variable and non-linear problem of bus scheduling can be found efficiently. The experiment results demonstrate that the optimal bus departure intervals...
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