Paper code for "Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extreme wind speed events in the short-to-medium range".
🍃 Wind Speed Prediction Model based on Pytorch
🌬️ Wind Speed Prediction Model using Machine Learning. ⚡ LightGBM for fast, reliable results. 📊 Visualize feature importance & performance. 💻 Interactive Streamlit Web UI & 🖥️ Desktop GUI. 🔬 Perfect for research & analysis of wind speed.
Deep Learning based Weather Events Prediction
Trabajo de tesis de grado en el cual se diseña y desarrolla un controlador del ángulo de paso para turbinas eólicas. Este modelo consiste en estudiar la interacción entre la predicción del recurso eólico y el control del ángulo de paso con el fin de maximizar la generación de energía sin comprometer la salud del rotor ni la del controlador.
Development of an evolutionary programming (EP) algorithm to evolve the initial weights from an Multilayer Perceptron.
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