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Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark
A generalizable and sensor-independent deep learning method for fault detection and location in low-voltage distribution grids
Thermal load forecasting in district heating networks using deep learning and advanced feature selection methods
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
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