most citedDay-ahead electricity price prediction applying hybrid models of LSTM-based deep learning methods and feature selection algorithms under consideration of market coupling

11 citations · 11 across the 1 of their papers we have counts for

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1 paper

q-fin.CP2021★ 11 cited

Day-ahead electricity price prediction applying hybrid models of LSTM-based deep learning methods and feature selection algorithms under consideration of market coupling

Wei Li, Denis Mike Becker

The availability of accurate day-ahead electricity price forecasts is pivotal for electricity market participants. In the context of trade liberalisation and market harmonisation i…