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Hybrid regression model for near real-time urban water demand forecasting

Brentan, Bruno M.; Luvizotto, E.; Herrera Fernández, Antonio Manuel; Izquierdo Sebastián, Joaquín; Pérez García, Rafael (Elsevier, 2017)

[EN] The most important factor in planning and operating water distribution systems is satisfying consumer demand. This means continuously providing users with quality water in adequate volumes at reasonable pressure, thus ...
Support Vector Regression Machine Learning Tool to Predict GNSS Clock Corrections in Real-Time PPP Technique

Qafisheh, Mutaz Wajeh Abdlmajid; Martín Furones, Ángel Esteban; Torres-Sospedra, Joaquín (CEUR Workshop Proceedings, 2020-06-04)

[EN] Real-time Precise Point Positioning (PPP) can provide the Global Navigation Satellites Systems (GNSS) users with the ability to determine their position accurately using only one GNSS receiver. The PPP solution does ...
SVR and ARIMA models as machine learning solutions for solving the latency problem in real-time clock corrections

Qafisheh, Mutaz; Martín Furones, Ángel Esteban; Capilla, Raquel M.; Anquela Julián, Ana Belén (Springer-Verlag, 2022-07)

[EN] Real-time precise point positioning (PPP) has become a prevalent technique in global navigation satellite systems (GNSS). However, GNSS real-time users must receive space state representation (SSR) products to correct ...

Mostrando ítems 1-3 de 3