One of the most significant discussion and challenges propounded in the macroeconomics is the effects of fluctuations of exchange rate on the macroeconomic variables (production, employment, inflation and … etc).In this direction, the important and noticeable point is the factors which lead to fluctuations in the exchange rate which, from amongst these factors as an example, is fluctuations in ...

U sing daily data, this study examined asymmetric pass-through of Iran’s oil price to banking stock index in Tehran Stock Exchange at different time horizons. Based on the results, the coefficient of long-run pass-through of oil price to banking stock index was estimated to be 0.63. Furthermore, based on the short-term ARDL-CECM models, the relationship between the positive component...

short-term traffic flow forecasting plays a significant role in the intelligent transportation systems (its), especially for the traffic signal control and the transportation planning research. two mainly problems restrict the forecasting of urban freeway traffic parameters. one is the freeway traffic changes non-regularly under the heterogeneous traffic conditions, and the other is the success...

This paper proposes an Artificial Neural Network (ANN)-based short-term load forecasting technique that considers electricity price as one of the main characteristics of the system load, demonstrating the importance of considering pricing when predicting loading in today’s electricity markets. Historical load data from the Ontario Hydro system as well as pricing information from the neighboring...

in recent years, wind energy has a remarkable growth in the world, but one of the important problems of power generated from wind is its uncertainty and corresponding power. for solving this problem, some approaches have been presented. recently, the artificial neural networks (ann) as a heuristic method has more applications for this propose. in this paper, short-term (1 hour) and mid-term (24...

In recent years, wind energy has a remarkable growth in the world, but one of the important problems of power generated from wind is its uncertainty and corresponding power. For solving this problem, some approaches have been presented. Recently, the Artificial Neural Networks (ANN) as a heuristic method has more applications for this propose. In this paper, short-term (1 hour) and mid-term (24...

III " It began with hope and belief " To all people I love IV Acknowledgments I am heartily thankful to my supervisors, Dr. Hamidreza Zareipour and Dr. Tuan. Le, whose encouragement, guidance, and support throughout enabled me to develop an understanding of this subject. I have learned precious lessons from their personality, vision and professionalism. Finally, I'd like to dedicate this work t...

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 ...