Wednesday, 14 December 2022

Global Solar Irradiation Modelling and Prediction Using Machine Learning Models for Their Potential Use in Renewable Energy Applications

 Mathematics 2022, 10(24), 4746




Global solar irradiation is an important variable that can be used to determine the suitability of an area to install solar systems; nevertheless, due to the limitations of requiring measurement stations around the entire world, it can be correlated with different meteorological parameters. To confront this issue, different locations in Rias Baixas (Autonomous Community of Galicia, Spain) and combinations of parameters (month and average temperature, among others) were used to develop various machine learning models (random forest -RF-, support vector machine -SVM- and artificial neural network -ANN-). These three approaches were used to model and predict (one month ahead) monthly global solar irradiation using the data from six measurement stations. Afterwards, these models were applied to seven different measurement stations to check if the knowledge acquired could be extrapolated to other locations. In general, the ANN models offered the best results for the development and testing phases of the model, as well as for the phase of knowledge extrapolation to other locations. In this sense, the selected ANNs obtained a mean absolute percentage error (MAPE) value between 3.9 and 13.8% for the model development and an overall MAPE between 4.1 and 12.5% for the other seven locations. ANNs can be a capable tool for modelling and predicting monthly global solar irradiation in areas where data are available and for extrapolating this knowledge to nearby areas.


Monday, 12 December 2022

Host–Guest Complexes

 Int. J. Mol. Sci. 2022, 23(24), 15730



This article belongs to the Special Issue Host-Guest Complexes and corresponds with the special issue editorial. In this Special Issue, we hope to address both the structural aspects of the formation and stability of these inclusion complexes as well as the energetic aspects associated with them, together with the different instrumental techniques used to characterise them, addressing the aspects related to molecular recognition and conformational switching. Of course, we must also take into account the aspects related to the technological applications of these compounds. In fact, they show important potentialities in topics such as superconductivity phenomena, the design of sensors, and food chemistry, agricultural chemistry, or their applications in matters of the environment.