- find the most optimal and accuracte model to forecast the next day solar output for a solar farm measured in kWh using the datasets like waether forecast and solar radiation for the day ahead.
I have trained and cross-validated 4 models (Linear Regression, Random Forest Regression, SVM model and Recurring Neural Network LSTM) and used Root-Mean-Squared Error to check which model's performance is better i.e. which has the smallest error.
Also built data processing pipeline which had transformers like SimpleImputer and MinMaxScaler.
I split the dataset into 80% train and 20% test dataframe.