Forecasting of Daily Average Power Demand for the Chhattisgarh State of India

In this article, forecasting of daily average power demand for Chhattisgarh state of India is done by employing the statistical model of time-series analysis. In time-series analysis, the more the availability of historical data, the more accurate will be the prediction. Forecast of demand distribution is computed by model simulation for best fit as concluded by data analytics. The trend of the average power demand data is then mapped over the time horizon by employing visualization tools. Thereafter, forecasting of power demand can be done for any date in future. The traditional statistical method of time-series analysis has been chosen over state-of-the-art automated machine learning (ML) forecasting methods or the manual method of expert forecasts primarily due to its simplicity, speed, excellent visualization and mono-attribute data input. The time-series analysis model has produced a well-visualized forecast with components analysis done in a lucid way that is easy to understand even for a layman.