vol. 9, nº 3, june 2025: Envíos recientes
Mostrando ítems 4-6 de 11
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Stacked LSTM for Short-Term Wind Power Forecasting Using Multivariate Time Series Data
(UNIR, 01/06/2025)Currently, wind power is the fast growing area in the domain of renewable energy generation. Accurate prediction of wind power output in wind farms is crucial for addressing the challenges associated the power grid. This ... -
Use of Optimised LSTM Neural Networks Pre-Trained With Synthetic Data to Estimate PV Generation
(UNIR, 01/06/2025)Optimising the use of the photovoltaic (PV) energy is essential to reduce fossil fuel emissions by increasing the use of solar power generation. In recent years, research has focused on physical simulations or artifical ... -
Trends in Addiction to Psychoactive Substances Among Homeless People in Colombia Using Artificial Intelligence
(UNIR, 01/06/2025)Introduction: Currently, homelessness should not be seen as just another problem, but as a reality of inequality and the absence of social justice. In this sense, homeless people are subjected to social disengagement, lack ...
