Short term load forecasting using LSTM ensembled network on utility
scale load demand.
AbstractThis 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