this paper presents a probabilistic optimal power flow (popf) algorithm considering different uncertainties in a smart grid. different uncertainties such as variation of nodal load, change in system configuration, measuring errors, forecasting errors, and etc. can be considered in the proposed algorithm. by increasing the penetration of the renewable energies in power systems, it is more essent...

In this paper, we present a new path-following interior-point algorithm for -horizontal linear complementarity problems (HLCPs). The algorithm uses only full-Newton steps which has the advantage that no line searchs are needed. Moreover, we obtain the currently best known iteration bound for the algorithm with small-update method, namely, , which is as good as the linear analogue.

With the rapid development of 3-dimensional (3D) acquisition technology, point clouds have a wide range application prospects in fields computer vision, autonomous driving, and robotics. Point cloud data is widely used many 3D scenes, deep learning has become mainstream research method for classification with advantages automatic feature extraction strong generalization ability. In this paper, ...