About the thesis:ObjectivesThis project aims to extend the existing framework in two key directions:Multi-Country Modelling: Include multiple EPEX SPOT SDAC countries; shift from regression-based import/export to implicit flow modelling.Storage Integration: Add pumped hydro and other storage as market players; use deterministic/stochastic optimization with a price-forward curve.Research QuestionsCan the hybrid model outperform Axpo’s operational model on price and flow forecasts?How accurate can it capture inter-country flows and storage operation without explicitly modelling FBMC like EUPHEMIA?What is the value-add of integrated storage optimization for forecast accuracy and realism?MethodologyExtend to a multi-node framework with transmission constraints and flow variables.Integrate storage dispatch via optimization using price-forward curves.Benchmark against Axpo’s operational model used in asset-backed trading with out-of-sample backtests and error metrics for prices and flows.Expected ImpactDemonstrate feasibility and benefits of the models for interconnected European markets.Provide actionable insights for Axpo’s traders and analysts on price and flow forecasting.Your profile:Master’s student with experience in Energy Markets or a related field (e.g. Engineering, Mathematics, Energy Science, Data Science), enrolled at a Swiss university or university of applied sciences (FH)Proficient in PythonSolid understanding of optimization methodsStarting Date: As soon as possible
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