This paper presents an application of pattern search optimization technique for extracting the parameters of different solar cell models. These models are single diode, double diode, and photovoltaic module. The solar cell parameters estimation is viewed and formulated as a multivariate...

This paper presents a new method for annual peak load forecasting in electrical power systems. The problem is formulated as an estimation problem and presented in state space form. A particle swarm optimization is employed to minimize the error associated with the estimated model parameters....

This study presents a new approach based on a hybrid algorithm consisting of Genetic Algorithm (GA), Pattern Search (PS) and Sequential Quadratic Programming (SQP) techniques to solve the well-known power system Economic dispatch problem (ED). GA is the main optimizer of the algorithm, whereas...