Equivalent Thermal Model for Oil-immersed Transformer in Steel Works and Optimization of load

This paper shows the relation between the sequence of slabs and the life loss of oil-immersed power trans former in steel works. Firstly, equivalent thermal model for oil-immersed power transformer will be introduced. Using k-means clustering, current for slabs are classified into some current groups. To expect current groups of slabs that have not classified, a model for the system is needed. For this model, neural network with MLP(multi-layer perceptron) was used. Finally, some sequence of slabs, which affect the life loss, will be represented