In this paper, we propose a new residual analysis method using Fourier series transform into fuzzy time series model for improving the forecasting performance. This hybrid model takes advantage of the high predictable power of fuzzy time series model and Fourier series transform to fit the estimated residuals into frequency spectra, select the low-frequency terms, filter out high-frequency term...

Short term load forecasting (STLF) plays an important role in the economic and reliable operation ofpower systems. Electric load demand has a complex profile with many multivariable and nonlineardependencies. In this study, recurrent neural network (RNN) architecture is presented for STLF. Theproposed model is capable of forecasting next 24-hour load profile. The main feature in this networkis ...

Accurate prediction of the future electricity consumption is crucial for production electricity management. Since the storage of electrical energy is very difficult, reliable and accurate prediction of power consumption is important. Different approaches for this purpose were used. In this paper, Grey model (1,1) based on grey system theory has been used for forecasting results. Annual electric...

Twenty-five years ago, the International Institute of Forecasters was established “to bridge the gap between theory and practice.” Its primary vehicle was the Journal of Forecasting and is now the International Journal of Forecasting. The Institute emphasizes empirical comparisons of reasonable forecasting approaches. Such studies can be used to identify the best forecasting procedures to use u...

The objective of an accident-mapping algorithm is to snap traffic accidents onto the correct road segments. Assigning accidents onto the correct segments facilitate to robustly carry out some key analyses in accident research including the identification of accident hot-spots, network-level risk mapping and segment-level accident risk modelling. Existing risk mapping algorithms have some severe...

OBJECTIVES To study the morbidity patterns of non-urgent patients utilising accident and emergency services and compare these patients with 'true' accident and emergency cases. To analyse the morbidity pattern of non-urgent cases over different time periods, and across different age groups. DESIGN A cross-sectional study completed over a 1-year period. SETTING Four accident and emergency de...

This paper aims to geographically differentiate the road accident costs associated with living at a certain place of residence. Official accident data in Germany record the place the accident occurred, but not the casualties' places of residence. Among those involved in an accident at a certain place there may obviously be some non-residents. Hence spatial analysis based on place of accident ma...

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...