We consider the problem of finding a safe path for a robot/manipulator in a dynamic environment and propose a novel neural network model for solving this task. The network has discrete time-dynamics, is locallyconnected, and is, hence, computationally efficient. No preliminary information about the current world status is required for the planning process. Path generation is performed via the n...

Satisfying the demand in a timely fashion is a critical task in any company. In a service sector like telecommunications where sold information transmission units cannot be stored in inventory or cannot be backordered, having appropriate capacity to fulfill all demand becomes crucial. In order to achieve this goal, not only a well designed planning system but a sound capacity expansion strategy...

This paper presents a method in expansion planning of transmission systems using the AC optimal power flow (AC-OPF). The AC-OPF provides a more accurate picture of power flow in the network compared to the DC optimal power flow (DC-OPF) that is usually considered in the literature for transmission expansion planning (TEP). While the AC-OPF-based TEP is a mixed-integer nonlinear programming prob...

As the share of wind energy in power system increases, consideration of these resources in power system planning, particularly in Transmission Expansion Planning (TEP) is becoming more and more important. In this paper, a Probabilistic Multi-Objective Transmission Expansion Planning (PMO-TEP) is presented to find the optimal node for connecting the large scale distant wind farm to the network f...