Machine Learning model for reservoir storage forecasting – Part 2

Reservoirs are an important surface water store. Forecasting reservoir storage can help with decision making. Model development allows application to various regions. This webinar presents how to train an ensemble tree model for reservoir storage forecasting, including the data needed.

Learning Objectives

• To be able to train an ensemble tree model for reservoir forecasting
• To evaluate the model
• To understand additional useful steps for model development

Target Audience

• Water managers, water resource modellers

Keywords

machine learning, reservoir modeling, reservoir storage, forecasting

Related Resources

• Deliverable 3.2: Improved modelling frameworks for better understanding of water resources at the river basin scale

• Deliverable 3.4: Data-driven modelling tools for the STARS4Water river basins