RP-1.3 Holistic Monitoring and Condition Prediction of Hydropower Plants
Holistic Monitoring and Condition Prediction of Hydropower Plants
Hydropower is a cornerstone of flexible, secure, and sustainable energy systems. As the energy sector undergoes a rapid digital and green transition, there is a growing need to modernize hydropower through advanced monitoring, intelligent control, and data-driven decision-making. This project aims to develop and demonstrate cutting-edge digital technologies that enhance the flexibility, resilience, and environmental performance of hydropower systems.
The focus of RP-1.3 is on integrating high-resolution monitoring, hybrid machine learning models, and digital twins to support real-time operation, predictive maintenance, and adaptive planning. By combining operational data with open environmental datasets, the project will also develop methods for improved flood forecasting, climate adaptation, and system restoration (including black-start and islanded operation).
Through close collaboration with industry, academic partners, and public stakeholders, the project will deliver validated tools, scalable methodologies, and best practices for the digital transformation of hydropower — strengthening its role in enabling a stable, renewable-dominated energy future.
