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

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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Bibliographic Details
Main Authors: Bruno Brentan, Ariele Zanfei, Martin Oberascher, Robert Sitzenfrei, Joaquin Izquierdo, Andrea Menapace
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Engineering Proceedings
Subjects:
battle of water demand forecasting
long–short-term memory
multi-layer perceptron
Online Access:https://www.mdpi.com/2673-4591/69/1/42
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