Accurate and effective electricity price forecasting is critical to market participants in order to make an appropriate risk management in competitive electricity markets. Market participants rely on price forecasts to decide on their bidding strategies, allocate assets and plan facility investments. However, due to its time variant behavior and non-linear and non-stationary nature, electricity...

the aim of this paper is to present the prediction model of the transport energy demand in iran. markov chain grey model (mcgm) is proposed to forecast the transport energy demand of iran. then it is compared with grey model (gm) and regression model. moreover, the mcgm forecasting model is used to forecast the annual gasoline demand of iran up to the year 1400. the aim of this paper is to pres...

this study is aimed at comparison of two quantitative model arima and madm in predicting manpower costs. also qualitative issue and problems of manpower planning are transformed in to qualitative one’s so as optimum planning and forecasting be made. in this study, we first used the time- series models especially arima, to fit forecasting manpower costs in shiraz hafez tile mfg. plant and extrac...

agricultural prices have a high fluctuation and forecasting may help decision making effectively. the aim of this study was to forecast the nominal and real prices of sugar beet and to recognize the appropriate forecasting model. initially the stationary of the series was tested. in order to investigate whether the series are stochastic, the nonparametric test of vald-wulfowitz and parametric t...

Petroleum (crude oil) is one of the most important resources of energy and its demand and consumption is growing while it is a non-renewable energy resource. Hence forecasting of its demand is necessary to plan appropriate strategies for managing future requirements. In this paper, three types of time series methods including univariate Seasonal ARIMA, Winters forecasting and Transfer Function-...

late blight, caused by phytophthora infestans, is one of the most important diseases of potato in the world and iran, especially in golestan province. 16 models have introduced for forecasting the disease in the world, sofar. in order to developing a forecasting model, wether and disease occurrence data during the recent 10 years were used.then, 22 variables were built using daily temperature, ...

inflation forecasting has been one of the requirements for the implementation of monetary policy in countries which their monetary authorities are pursuing inflation targeting regime. however, owing to central bank independence in one hand and as well as the lagged effects of monetary policies on inflation in the other, the monetary authorities should have the sound perspective about the future...