Short term load forecasting using LSTM ensembled network on utility scale load demand.
preprintposted on 29.12.2021, 04:14 authored by Fathun Karim FattahFathun Karim Fattah, Pritom Mojumder, Azmol Ahmed Fuad, Mohiuddin Ahmad, Eklas hossain
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.