A comparative study of machine learning – based models for short-term multi-step forecasting of solar power: An application for Nhi Ha solar farm

In this study, four machine learning models have been studied which are Artificial Neural Networks, Convolutional Neural Networks, Long Short-Term Memory (LSTM) and Extreme Learning Machine (ELM). They have been used to forecast the solar power of Nhi Ha solar farm in short-term. First, data from Nhi Ha solar farm were collected and underwent preprocessing before being utilized by aforementioned distinct machine learning models.
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A comparative study of machine learning – based models for short-term multi-step forecasting of solar power: An application for Nhi Ha solar farm