Hydrological models for flow recession as forecasting tools in small hydrpower works

In recent decades, the EU energy policy, which focuses on the shift to clean energy, has been of interest to experts. In this context, a single European electricity market has been set up to strengthen the position of consumers and facilitate the transition to clean energy. The new electricity market model, also known as Target Model, consists of individual markets (day-ahead, intraday, balancing, futures) and requires proper planning of power plants. Under this regime, tools for forecasting and planning the energy produced become necessary for the power plants to cope with the new competitive market. The purpose of this thesis is to develop a model for forecasting energy production in small hydroelectric plants using hydrological recession models. The forecasting methodology is divided into long-term (over a period of 6 months) and short-term (in cases of recession of a flood episode). The operation of the small hydroelectric plants is interesting, as they operate between a maximum and a lower discharge and they do not have the possibility of storing water for its exploitation in the next time step. The methodology is applied in the Kremasta basin for a given series of daily flows.