Categoría: Energía

Con el coste de las facturas de energía en constante aumento año tras año, muchos se preguntan si alguna vez cesado. Los precios de la energía ya están aumentando más rápidamente que el salario promedio, y muchas personas están luchando para pagar las cuentas,. En un mundo ideal, que sería capaz de predecir las tendencias, cambios y movimientos en el mercado mundial de la energía que nos daría una idea de lo que preparar. Lamentablemente, sin embargo, las predicciones precisas, especialmente las de corto plazo son prácticamente imposibles de prever. Las predicciones a largo plazo, sobre, por ejemplo, un período de 30 años, son más alcanzables, pero nadie es realmente capaz de hacer previsiones de precios de energía diciendo lo que […]

Between February 28 and March 3, professionals related to the world of renewable energies and energy efficiency, have a new appointment at IFEMA on the occasion of the celebration of GENERA 2017, International Energy and Environment Fair, which a again it will show an interesting perspective on the latest technological developments in the sector. Among all activities, it stresses the call for a new edition of the Innovation Gallery. An initiative, which aims to recognize and disseminate innovative projects in the field of renewable energy, energy efficiency and environment, for the eighth consecutive year.   GALLERY OF INNOVATION The call aims to encourage companies, research centers and technological institutes, universities, research groups and other public and private organizations to submit […]

We use multiple regression when we study the possible relationship between several independent variables and one dependent variable. For example, we can study human intelligence taking the IQ as the response variable and it is possible that we believe may be related to other variables such as brain size, the size of the person and sex. We could add to the study as independent variables. A multiple regression model could offer a response such as: IQ = 80 + 0.02 + 0.15 Size brain volume – 0.8 Sex, where the sex variable is a dichotomous or indicator variable coded as 0 for women and 1 for men. To interpret such a model must be very cautious. Multiple regression models inform […]

The forecast for Box-Jenkins methodology part of the fact that the time series is predicted is generated by a stochastic process whose nature can be characterized by a model. To make such an estimate requires a monthly or quarterly time series that has a large number of observations. And the forecast for Box-Jenkins methodology involves finding a mathematical model that represents the mathematical behavior of the time series data, allowing setting forecasting only by entering the corresponding time period. The forecast for Box-Jenkins methodology provides predictions without the existence of any precondition, besides being parsimonious with respect to the coefficients. On the other hand, once you found the model can be made immediately predictions and comparisons between actual data and […]

Various methods classified according to time-scales or methodology, are available for wind energy forecasting. Actually, classification of wind energy forecasting approaches in terms of time-scale is unclear. However, making reference to a great deal of studies in this field, wind forecasting can be separated based on the prediction horizon into three categories: Immediate-short-term (8hours-ahead) forecasting, Short-term (day-ahead) forecasting, Long-term (multiple-days-ahead) forecasting. Moreover, as shown in Table 1, applications of specific time horizon in electricity systems are consequential different. Wind energy forecasting schemes can also be classified based on their methodology into two categories: Physical approach (deterministic approach). Physical method or deterministic method is based on lower atmosphere or numerical weather prediction (NWP) using weather forecast data like temperature, pressure, surface […]