Abstract
To obtain the best results and leads to accuracy, data visualization techniques allows the big data and unprocessed data in a structured format. There are a lot of techniques that provides the best results for both high and low dimensional data preprocessing. Electricity crisis are becoming the part of day to day life and increasing rapidly. There are a lot of factors that affects the distribution and transmission losses of electricity. PEPCO, GENCO and other distribution companies are responsible for electricity distribution .There are 10-12% electricity losses during the distribution from main to other. At different sectors electricity production and installation from different resources of energy needs a proper monitoring system .Except of system losses a lot of electricity lost due to non-technical factors which leads to the shortage of electricity in a Country. .Grid stations should be planted according to the population of the province .Diagnostic framework includes the previous and present data comparison which predicts and forecasts the future consumption that helps to overcome losses by time series analysis algorithm (ARIMA)
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