Electricity price forecasting is crucial in the energy markets as it affects various stakeholders, including electricity consumers, retailers, suppliers, and grid operators. Still, it is enormously ...

The prediction and modeling of ionospheric total electron content (TEC) have consistently been a focal point for researchers, as it holds significant implications for satellite positioning, navigation ...

Convolutional Autoencoder with LSTM for CFD Predictions This repository contains a machine learning model that combines a Convolutional Autoencoder (CAE) and Long-Short Term Memory (LSTM) network to ...