This research develops a hybrid model by integrating K-mean, Neural Network, and Artificial Chromosomes embedded Genetic Algorithms to forecast the electrical load. This hybrid model encompasses two novel concepts: 1. Under the expectations of load balancing, we clustering 272 electrical substations into different clusters, and develop a forecast model of each cluster. 2. Instead of the generat...

the continuous improvement of eaf performance is crucial for the increase in productivity and cost effectiveness and to render an environmental friendly process. rhi supports these targets by providing a diverse range of refractory and process solutions. chemical energy in practical operation by injection of gaseous media like oxygen and natural gas, and solid materials like carbon have become ...

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Performing fast and accurate methods for modeling the electrical machines has been the subject of several studies and many authors proposed different procedures to attain this aim. Beside the accuracy, the speed of the method is of great concern. On the other hand, the capability of the method to be changed according to the need is another important issue. Finite Element method provides relativ...

Information on chlorine concentration in groundwater for drinking and agriculture is important. If theconcentration of this element is in too much water can cause problems for humans and is toxic toplants. Measurement of chloride in groundwater is extensive, costly and time consuming. Find easyand inexpensive method has a special importance. the Statistical methods are based on spatialvariables...

Soil salinity undergoes significant spatial and temporal variations; therefore, salinity mapping is difficult, expensive, and time consuming. However, researchers have mainly focused on arid soils (bare) and less attention has been paid to halophyte plants and their role as salinity indicators. Accordingly, this paper aimed to investigate the relationship between soil properties, such as electr...