Arthur Caio Vargas e Pinto

Federal University of Juiz de Fora · Departamento de Energia Elétrica (ENE)

Time series forecasting is widely used to predict future values in several applications, such as climate, industries demand, stock markets and business strategies. Fuzzy set based time series (FTS) forecasting models are widely used to solve forecasting problems because of fuzzy logic’s ability to deal with uncertainties. But designing a FTS model...

In many time series practical forecasting problems, it is possible to find challenging behaviors and patterns within the data, making it difficult to analyze and forecast. This scenario has motivated, in recent years, the development of new forecasting methods, combining predictive performance and low processing costs. One of these methods is based...

Air psychrometric properties are important in several areas of agricultural engineering, such as calculation of evaluation of the animal environment and air control in grain storage units. Due to their relevance and the complexity and the uncertainties in the use of psychrometric charts, the objective of this paper was to develop the software, PsyC...

Among the renewable energies sources, the solar have excelled from the others because its fast growning and global accept. But, photovoltaic systems have low efficiency and the cause is related with various variables, as temperature, irradiation, angle of the panels, and others. The implementation and operation of photovoltaic cells requires few co...

Water is a vital element for the survival of humanity. However, due to the unequal distribution and irrational use of water resources, several regions face problems related to water scarcity. Given this scenario, different sources of water reuse have been studied. Condensed water from air conditioning and gray water, although still little explored,...