Climatization and Luminosity Optimization of Buildings using Genetic Algorithm, Random Forest and Regression Models - Training Datasets

The Genetic Algorithm is used to create the training dataset for both the Random Forest and Polynomial Regressions. It achieves these results by adjusting the air conditioner temperature, artificial lighting luminosity, remote blinds, and by advising the opening of doors and/or windows. All the input data (e.g. sensor data, MIBEL prices, and available PV) had to been retracted, due to privacy reasons, thus these files only represent the output given by the Genetic Algorithm, for each scenario. The culmination of all the diferent training data files, from the different rooms, represent the training set. File Description: Training_Dataset_1 - Training Dataset for the first room Training_Dataset_2 - Training Dataset for the second room Training_Dataset_3 - Training Dataset for the third room Training_Dataset_4 - Training Dataset for the fourth room