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Short term load forecasting using LSTM ensembled network on utility scale load demand.pdf (3.76 MB)
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Short term load forecasting using LSTM ensembled network on utility scale load demand.

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posted on 29.12.2021, 04:14 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.

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Email Address of Submitting Author

fathunkarim@gmail.com

Submitting Author's Institution

Khulna University of Engineering & Technology

Submitting Author's Country

Bangladesh