DOAJ Open Access 2024

An Approach Based on the Use of Commercial Codes and Engineering Judgement for the Battle of Water Demand Forecasting

Alfredo Iglesias-Rey Carlos Alfonso López Hojas F. Javier Martínez-Solano Pedro L. Iglesias-Rey

Abstrak

This paper demonstrates the synergistic use of engineering judgment and statistical/deep learning models, implemented through a four-step process using the software SAS Viya 4. Initial data filtering, input variable determination, and simultaneous application of RNN, LSTM, and GRU forecasting algorithms are conducted. Results are evaluated based on Battle of Water Demand Forecasting criteria, refining parameters iteratively for enhanced prediction accuracy. The methodology iteratively incorporates new data, streamlining neural network resolution.

Penulis (4)

A

Alfredo Iglesias-Rey

C

Carlos Alfonso López Hojas

F

F. Javier Martínez-Solano

P

Pedro L. Iglesias-Rey

Format Sitasi

Iglesias-Rey, A., Hojas, C.A.L., Martínez-Solano, F.J., Iglesias-Rey, P.L. (2024). An Approach Based on the Use of Commercial Codes and Engineering Judgement for the Battle of Water Demand Forecasting. https://doi.org/10.3390/engproc2024069176

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Informasi Jurnal
Tahun Terbit
2024
Sumber Database
DOAJ
DOI
10.3390/engproc2024069176
Akses
Open Access ✓