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