Forecasting performance comparison of daily maximum temperature using ARMA based methods

Forecasting day ahead electricity price using ARMA methods

Comparison of ARMA and Multilayer Perceptron Based Methods for Economic Time Series Forecasting

In this paper two popular time series prediction methods – the Auto Regression Moving Average (ARMA) and the multilayer perceptron (MLP) – are compared while forecasting seven real world economical time series. It is shown that the prediction accuracy of both methods is poor in ill-structured problems. In the well-structured cases, when prediction accuracy is high, the MLP predicts better provi...

Weather Forecasting Using Soft Computing: Minimum Temperature, Maximum Temperature & Pressure

In a developing country, like India where agriculture is the base for national economy, the weather conditions including Minimum Temperature, Maximum Temperature and Pressure play a leading role. Therefore having accurate weather forecasting information may allow farmers to make their better decisions on managing their farms. Similar statement can be made for industries where accurate weather c...

Forecasting Average Daily Temperature in the Khorasan Razavi Province

In this research, applied synoptic model for determining the average daily temperature and its relationship with the Geopotential Height in middle level (500 HPa). Therefore, two database were used: database of atmospheric circulations, includes the data of geopotential height at 500 HPa and its data were extracted from the NCEP/DOE(US National Oceanic and Atmospheric Administration) in hours 0...

Forecasting Daily Volatility Using Range-based Data

Users of agricultural markets frequently need to establish accurate representations of expected future volatility. The fact that range-based volatility estimators are highly efficient has been acknowledged in the literature. However, it is not clear whether using range-based data leads to better risk management decisions. This paper compares the performance of GARCH models, range-based GARCH mo...