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Found 2 essays matching the above criteria.
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1. Intelligent hydropower : Making hydropower more efficient by utilizing machine learning for inflow forecasting
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Inflow forecasting is important when planning the use of water in a hydropower plant. The process of making forecasts is characterized by using knowledge from previous events and occurrences to make predictions about the future. Traditionally, inflow is predicted using hydrological models. READ MORE
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2. Evaluation of a conceptual, semi-distributed hydrological model : a case study of Hörbyån
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Research in hydrological modelling has been directed towards the development of more complex models that may consider the spatial and temporal variations of meteorological and physical characteristics of a drainage basin. The aim with this study was to evaluate the HBV-model (Hydrologiska Byråns Vattenavdelning), a conceptual, semi-distributed hydrological model. READ MORE