COMPARISON OF IMPLICIT VS. EXPLICIT REGIME IDENTIFICATION IN MACHINE LEARNING METHODS FOR SOLAR IRRADIANCE PREDICTION

Comparison of Implicit vs. Explicit Regime Identification in Machine Learning Methods for Solar Irradiance Prediction

This work compares the solar power forecasting performance of tree-based methods that include implicit regime-based models to explicit regime separation methods that utilize both unsupervised and supervised machine learning techniques.Previous studies have shown an improvement utilizing a regime-based machine learning approach in a climate with div

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Assessment of anammox, microalgae and white-rot fungi-based processes for the treatment of textile wastewater.

The treatability of seven wastewater samples generated by a textile digital printing industry Laundry Pedestal was evaluated by employing 1) anammox-based processes for nitrogen removal 2) microalgae (Chlorella vulgaris) for nutrient uptake and biomass production 3) white-rot fungi (Pleurotus ostreatus and Phanerochaete chrysosporium) for decoloriz

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