This study implements the Kmean+ANN based Load forecasting technique to predict the load of Amritsar and Pathankot station. Artificial Neural Network (ANN) is one of the emerging methods used for forecasting the load. This method shown good results in different power station problems included planning, protection, designing, control & security analysis and fault diagnosing. In this paper, it is illustrated that from last few years the load forecasting has been widely adopted and this is due to increase in the demand for electric power and this had also resulted in an increase of generating sources expenditure. In most of the cases, it had been implemented in utilizes to determine the number of resources required to fulfill the demands of the project. The major focus area of the research was load prediction of two different stations for 9 upcoming years. In this study work past 18 years load information was collected and different years were select as base years and after that, the author had implemented the k-mean clustering and ANN method to predict load for upcoming nine years.