Advanced Hydroinformatics

Machine Learning and Optimization for Water Resources

Book (2024)

Contributors

Gerald A. Corzo Perez IHE Delft Institute for Water Education (editor)

D.P. Solomatine IHE Delft Institute for Water Education, Water Problems Institute of Russian Academy of Sciences, Water Resources - (editor)

Research Group

Water Resources () (TU Delft)

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Published Date

2024

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Water Management

Research Group

Water Resources

Abstract

The rapid development of machine learning brings new possibilities for hydroinformatics research and practice with its ability to handle big data sets, identify patterns and anomalies in data, and provide more accurate forecasts.

Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources presents both original research and practical examples that demonstrate how machine learning can advance data analytics, accuracy of modeling and forecasting, and knowledge discovery for better water management.