A Comparative Analysis Between LSTM and LSTM Ensembled Strategy for Short-term Load Forecasting
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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.
2016 ◽
Vol 2
(1)
◽
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