Cascade Machine Learning Approach Applied to Short-Term Medium Horizon Demand Forecasting

This work proposes a cascade model incorporating Long–Short-Term Memory (LSTM) and Multi-Layer Perceptron (MLP), which offers a more reliable model to forecast short-term (hourly) and medium horizon (week) water demand. The MLP model integrates the previously forecasted demand with exogenous variabl...

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Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua:	Bruno Brentan, Ariele Zanfei, Martin Oberascher, Robert Sitzenfrei, Joaquin Izquierdo, Andrea Menapace
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	MDPI AG 2024-09-01
Rangatū:	Engineering Proceedings
Ngā marau:	battle of water demand forecasting long–short-term memory multi-layer perceptron
Urunga tuihono:	https://www.mdpi.com/2673-4591/69/1/42
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Cascade Machine Learning Approach Applied to Short-Term Medium Horizon Demand Forecasting

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