Short-term water demand forecasting using machine learning techniques
Short-term water demand forecasting using machine learning techniques is a scholarly work, published in 2018 in ''Journal of Hydroinformatics''. The main subjects of the publication include water resource, industrial engineering, tariff, electricity market, water distribution system, moving average, artificial intelligence, phase, artificial neural network, operations research, support vector machine, electricity, autoregressive integrated moving average, machine learning, and computer science. Abstract Nowadays, a large number of water utilities still manage their operation on the instant water demand of the network, meaning that the use of the equipment is conditioned by the immediate water necessity.