RESUMO
The use of models capable of forecasting the production of photovoltaic (PV) energy is essential to guarantee the best possible integration of this energy source into traditional distribution grids. Long Short-Term Memory networks (LSTMs) are commonly used for this purpose, but their use may not be the better option due to their great computational complexity and slower inference and training time. Thus, in this work, we seek to evaluate the use of neural networks MLPs (Multilayer Perceptron), Recurrent Neural Networks (RNNs), and LSTMs, for the forecast of 5 min of photovoltaic energy production. Each iteration of the predictions uses the last 120 min of data collected from the PV system (power, irradiation, and PV cell temperature), measured from 2019 to mid-2022 in Maceió (Brazil). In addition, Bayesian hyperparameters optimization was used to obtain the best of each model and compare them on an equal footing. Results showed that the MLP performs satisfactorily, requiring much less time to train and forecast, indicating that they can be a better option when dealing with a very short-term forecast in specific contexts, for example, in systems with little computational resources.
RESUMO
Monitoring and data acquisition are essential to recognize the renewable resources available on-site, evaluate electrical conversion efficiency, detect failures, and optimize electrical production. Commercial monitoring systems for the photovoltaic system are generally expensive and closed for modifications. This work proposes a low-cost real-time internet of things system for micro and mini photovoltaic generation systems that can monitor continuous voltage, continuous current, alternating power, and seven meteorological variables. The proposed system measures all relevant meteorological variables and directly acquires photovoltaic generation data from the plant (not from the inverter). The system is implemented using open software, connects to the internet without cables, stores data locally and in the cloud, and uses the network time protocol to synchronize the devices' clocks. To the best of our knowledge, no work reported in the literature presents these features altogether. Furthermore, experiments carried out with the proposed system showed good effectiveness and reliability. This system enables fog and cloud computing in a photovoltaic system, creating a time series measurements data set, enabling the future use of machine learning to create smart photovoltaic systems.
RESUMO
Introducción: A partir de la evidencia disponible, se infiere que variables cognitivas y motivacionales influyen sobre variables emocionales y estas a su vez influyen sobre la percepción y autorreporte de bienestar y salud, con implicaciones para la promoción y prevención. Método: Se realizó una investigación con enfoque cuantitativo, descriptiva, correlacional y con metodología de análisis explicativo, transversal, analizando los datos a través del modelado de ruta del enfoque de mínimos cuadrados parciales del modelo de ecuaciones estructurales, con el software Smart PLS versión 3.3.2., analizando consecuentemente la validez convergente y discriminante del modelo. Un total de 223 adultos jóvenes participaron, 41 hombres, (18,4%) y 182 mujeres (81,6%) con edades entre 18 a 30 años (µ= 24,26 y σ=±3,30) universitarios de pregrado o licenciatura, en Bogotá Colombia. Resultados: Se identificaron relaciones significativas entre la autodeterminación y la impulsividad e inteligencia emocional, y de estas a su vez con el bienestar psicológico y los hábitos saludables. No se identificaron relaciones significativas entre la metacognición y la impulsividad, aunque sí entre la metacognición y la inteligencia emocional. Conclusiones: Se confirma el modelo propuesto en el cual la metacognición y la autodeterminación se relacionan con la impulsividad y la inteligencia emocional y estas a su vez con el bienestar psicológico y los hábitos de vida saludable. Sobre la ausencia de relaciones entre la metacognición y la impulsividad se sugiere precisar a futuro sobre los procesos metacognitivos implicados que inciden en el control del componente emocional. Se discuten los resultados, sus implicaciones y la necesidad de considerar más determinantes simultáneamente, para la promoción de la salud.
Background: From the evidence, it is inferred the influence of cognitive or motivational variables over the emotional ones and from these on the perception and self-reported wellbeing and health, with direct implications for health promotion and prevention. Method: a quantitative approach, descriptive, correlational cross-sectional with statistical explanatory analysis investigation was conducted, analyzing the data through path modeling of the partial least squares approach of the structural equations model, by using the Smart PLS software 3.3.2 version, analyzing consequently the convergent and discriminant validity of the model. A total 223 undergraduate university young adult students was evaluated, 41 men (18,4%) and 182 women (81,6%) with ages between 18 and 30 years old (µ= 24,26 y σ=±3,30), from Bogotá Colombia participated. Results: The results allowed to significant relations between the self - determination with the impulsivity and emotional intelligence, and from these with the psychological well-being and healthy habits. There were not identified significant relations between the metacognition and the impulsivity, although there are between metacognition and emotional intelligence. Conclusions: The proposed model about the significant relations between metacognition and self-determination with impulsivity and emotional intelligence and between these and the psychological well-being and healthy habits was confirmed. The specific result related to the absence of significant relations between metacognition and the impulsivity suggest for futures research, to emphasize on the metacognitive process implicated on the emotional components. The results are discussed, its implications and the necessity to be considered more determinants for the promotion of health.
RESUMO
Neste artigo apresentamos e discutimos os resultados parciais da investigação sobre a constituição do campo da sexologia contemporânea no Brasil, parte da pesquisa comparativa "Sexualidade, ciência e profissão na América Latina". Uma segunda onda sexológica surgiu no Brasil em finais dos anos 1970 no Rio de Janeiro, com um viés essencialmente clínico, e em São Paulo, com um viés educacional. A década seguinte marcou um período de institucionalização no qual são criadas as duas associações que hoje polarizam o campo em torno de uma sexologia mais eclética e multiprofissional e da chamada "medicina sexual", em geral dominada pelos urologistas. Discutimos os significados dessa polarização em termos das disputas profissionais subjacentes e das concepções de gênero implicadas em tais disputas.
In this paper we present and discuss the preliminary results of an investigation on the constitution of the contemporary field of sexology in Brazil, which is part of the comparative research "Sexuality, science and profession in Latin America". A second sexology arose in Brazil in the late 70's in Rio de Janeiro, with an essentially clinical approach, and in São Paulo, with an educational approach. The following decade brought a period of institutionalization in which the two associations that nowadays dominate the sexological field were created. They represent the two main trends in modern sexology; a more eclectic and multiprofessional approach and the so-called "sexual medicine", dominated by urologists. We discuss the meanings of this polarization in terms of its underlying professional disputes and the gender assumptions implied in such disputes.