This work investigates different kinds of models for economic time series and compares the ability of these models to fit the observed data and their predictive power in the short term, both for single-series models and for multivariate models. Both capabilities are analyzed and classified...

Since 2011 China attempts to internationalise its currency by allowing more cross-border trade to be settled in renminbi (RMB). Via the so-called RMB Trade Settlement Scheme trade partners are able to pay and to be paid in RMB offshore. Due to the mostly closed mainland (onshore) market, both...

The Efficient-Market Hypothesis (EMH) asserts that efficient markets are informationally efficient or all information (market, public or private) should reflect on stock prices. No one could earn excess profit using any kind of information in efficient market. There are three forms of efficiency...

The aim of this work is the development of an optimization model in order to minimize the cost of Leaf Community microgrid. This cost is a sum of energy cost and the maintenance cost of the energy storage system (ESS). The developed objective function is constrained and the problem here is...

This paper presents a new optimization procedure for Stirling engines based on neural network concepts. Based on modeling and experimental data an intelligent and fast method is proposed which finds the best values for different design variables. Design variables of Stirling engine are optimized...

The use of agent-based modeling in economics is a step forward enabling a more realistic description of the complex interactions and behaviors occurring in the economic environment. Although it offers increased realism, especially in describing how local characteristics generate global patterns,...

Until 2016 power plants within the EU will have to meet new limits on emissions as dictated by EU regulations. One of the major challenges is to reduce emissions of nitrogen oxides (NOx) due to health and ozone-formation concerns. Combustion optimisation is one of the primary measures for...

The increase in the power of photovoltaic systems involves a significant grow in the number of modules that make them up. The known problems caused by the shading are not usually taken into account in the design of a photovoltaic central away from urban environments. The aims of this study are...

This paper investigates neural network tools, especially the nonlinear autoregressive model with exogenous input (NARX), to forecast the future conditions of the Index of Financial Safety (IFS) of South Africa. Based on the time series that was used to construct the IFS for South Africa...

Recently, Donaldson and Kamstra (1997) proposed a class of NN-GARCH models which are extended to a class of NN-GARCH family by Bildirici and Ersin (2009). The study aims to analyze the nonlinear behavior and leptokurtic distribution in petrol prices by utilizing a newly developed family of...