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Accurate forecasting of reservoir inflows based on historical data is essential for effective water resources planning and management. Water flow forecasting presents a major challenge due to the nonlinear, non-stationary, stochastic, and highly noisy nature of water flows in rivers and inflows into reservoirs. These complex characteristics hinder the modeling process and limit the effectiveness of conventional prediction methods, making it difficult to achieve high accuracy results. This study explores the use of...

This study presents a multicriteria evaluation for the integration and development of the Limberg Pumped Storage Hydropower Plant (PSHP) in Austria. The research aims to identify the most sustainable and efficient solution to enhance energy storage capacity and operational flexibility within the national energy system. Three development scenarios were analyzed using a Multicriteria Decision Analysis (MCDA) based on the Analytic Network Process (ANP) implemented in Super Decisions (SD) software. Scenario 1 involves...

Within the framework of the iAMP-Hydro EU project, two dedicated work packages address the challenges of inflow and power forecasting for both run-of-river hydropower plants and large hydropower reservoirs. These tasks aim to improve short-term and medium-term operational planning by integrating advanced data-driven techniques into hydrological forecasting chains. Five initial validation sites, three located in Spain and two in Greece, were analyzed using a suite of statistical and machine learning techniques, inc...