Analysis of Energy Consumption and Implementation of R-Statistical Programming for Load Forecasting in Presence of Solar Generation

An increase in the demand for energy needs more electricity generation and better accuracy of load forecasting for short and long duration. This helps in electricity price prediction for the future market which is a very important aspect of electricity trading. This paper will present the effect of integration of renewable to the individual house and also different load forecasting methods are discussed. Results of load forecasting of individual houses are discussed for the month of December 2017 and May 2018 which is peak winter and peak summer time of energy consumption, respectively.