Abstract: There are a number of stochastic models that simulate weather data required for various water resources applications in hydrology, agriculture, ecosystem, and climate change studies. However, many of them ignore the ...

Abstract: This paper presents a comparison between an inflow model-based and an inflow model-free optimization method applied to a hydropower system. Widely used stochastic dynamic programming (SDP) and the evolutionary multiobjective ...

Abstract: Stochastic dynamic programming is one of the most widely used optimization techniques for water system optimization. In this study, four methods for estimating transition probabilities have been evaluated to determine how ...

Abstract: and surface schemes (LSSs) are of potential interest both to hydrologists looking for innovative ways to simulate river flow and the land surface water balance and to atmospheric scientists looking to improve weather and ...