An Approach Based on the Use of Commercial Codes and Engineering Judgement for the Battle of Water Demand Forecasting
This paper demonstrates the synergistic use of engineering judgment and statistical/deep learning models, implemented through a four-step process using wac 4011 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 b