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.
Topik & Kata Kunci
Penulis (4)
A
Alfredo Iglesias-Rey
C
Carlos Alfonso López Hojas
F
F. Javier Martínez-Solano
P
Pedro L. Iglesias-Rey
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2024
- Sumber Database
- DOAJ
- DOI
- 10.3390/engproc2024069176
- Akses
- Open Access ✓