This paper presents the applicability of artificial neural networks for 24 hour ahead solar power generation forecasting of a 20 kW photovoltaic system, the developed forecasting is suitable for a reliable Microgrid energy management. In total four neural networks were proposed, namely: multi-layred perceptron, radial basis function, recurrent and a neural network ensemble consisting in ensembl...

Background: There is a high prevalence of  occupational injuries due to accidents in construction industries which affect human health. Therefore, the exploration and analysis of contributing factors of such accidents can lead to their prevention and the reduction of their consequences. This study was conducted with the aim to identify factors related to occup...

post-traumatic stress disorder (ptsd) is a chronic and progressive disorder that occurs after some traumas and accident. injuries and harm to health caused by motor vehicle accidents (mvas) have become an issue of global concern, as mvas are expected to be the third largest contributor to the worldwide burden of disease by the year 2020. chronic ptsd is a common consequence of mva and that it m...

objectives: an effective safety management requires paying attention to human factors. one of the most important methods for achievement to accident prevention is using safety climate or safety culture. moreover, some studies suggest that in most organizations behavior contributes to 86-96% of all injuries. this cross-sectional study was performed on the functional units’ workers of khuzestan p...

Long term power load has a big impact on the development of industry of power. The forecasting models of linear systems even a single forecasting model of the nonlinear systems can not forecast the long term power load greatly. In the study, the combined forecasting model of nonlinear systems including chaos and fractal was established to improve the accuracy of the forecast. First, the charact...

Combination forecasting takes all characters of each single forecasting method into consideration, and combines them to form a composite, which increases forecasting accuracy. The existing researches on combination forecasting select single model randomly, neglecting the internal characters of the forecasting object. After discussing the function of cointegration test and encompassing test in t...