Clustering is an important and popular technique in data mining. It partitions a set of objects in such a manner that objects in the same clusters are more similar to each another than objects in the different cluster according to certain predefined criteria. K-means is simple yet an efficient method used in data clustering. However, K-means has a tendency to converge to local optima and depend...

Recently, Distribute Generation sources (DGs) connected to the distribution network has received increasing attention. The daily voltage control is one of the most important schemes in distribution networks, which can be affected by DGs. This paper presents a multi-objective Voltage optimizes control modeling, including objectives that are the total cost of power generated by Wind Farms (WFs) a...

Precise forecast of the electrical load plays a highly significant role in the electricity industry and market. It provides economic operations and effective future plans for the utilities and power system operators. Due to the intermittent and uncertain characteristic of the electrical load, many research studies have been directed to nonlinear prediction methods. In this paper, a hybrid predi...

Compressing the image causes less memory to be used store images. images increases transmission speed of compressed in network. Vector quantization (VQ) is one compression methods. The challenge vector method for non-optimization codebooks. Codebook optimization quality and reduces volume Various methods swarm intelligence meta-heuristics are improve algorithm, but using meta-heuristic based on...

Climate change in the watershed above reservoir has a direct impact on quantity of streamflow that enters and management water resources. Developing effective rule curves helps reduce risk future failures resource management. The purpose this study was to analyze influence climate volume entering Ubolratana Reservoir, Thailand during years 2020–2049 with simulations from CIMP5 model under RCP4....

Texture image classification is an important topic in many applications in machine vision and image analysis. Texture feature extracted from the original texture image by using "Tuned" mask is one of the simplest and most effective methods. However, hill climbing based training methods could not acquire the satisfying mask at a time; on the other hand, some commonly used evolutionary algorithms...

A Hybrid technique of Artificial Neural Network and Honey Bee Mating Optimization (H-ANN-HBMO) is presented in this paper to damp power system oscillation in multi machine environment. By considering this strategy the weights of ANN is optimized to find the optimum work point of controller. The proposed strategy consists of an ANN controller, which is used as a power system stabilizer in power ...