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A market framework for grid balancing support through imbalances trading
Optimal Control Strategies for Seasonal Thermal Energy Storage Systems with Market Interaction
Scenario-based nonlinear model predictive control for building heating systems
A generalizable and sensor-independent deep learning method for fault detection and location in low-voltage distribution grids
A 1-dimensional continuous and smooth model for thermally stratified storage tanks including mixing and buoyancy
Building day-ahead bidding functions for seasonal storage systems: A reinforcement learning approach
Short-term forecasting of solar irradiance without local telemetry: A generalized model using satellite data
Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms
Forecasting day-ahead electricity prices in Europe: The importance of considering market integration
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