This work entails producing load forecasting through LSTM and LSTM ensembled networks and put up a comparative picture between the two. Our work establishes that LSTM ensemble learning can produce a better prediction compared to single LSTM networks. We tried to quantify the improvement and assess the economic impact that it can have on the utility companies.