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Implementation of Electric Load Forecasting Based on LSTM (BiLSTM). Including direct-multi-output forecasting, single-step-scrolling forecasting, multi-model-single-step forecasting, multi-model-scrolling forecasting, and seq2seq forecasting.
The aim of this research is to develop an effective numerical method that can be used to efficiently compute surges in pipes due to valve connecting two reservoirs being rapidly opened, using a computer program developed in the Python environment.