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 ...

The scheduling and operation of power system becomes prominently complex and uncertain, especially with the penetration of distributed power. Load forecasting matters to the effective operation of power system. This paper proposes a novel deep learning framework to forecast the short-term grid load. First, the load data is processed by Box-Cox transformation, and two parameters (electricity pri...

This research brings forward the Pleione Formosana Hayata Orchid product market demand forecasting system to assist the traditional market personnel to forecast the demand of its customer in the future. The characteristic of Pleione Formosana orchid is one bulb with one leaf only. It sells by the bulbs. By the time for harvesting the operating personnel need spend much capital on the stock of b...

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 this study, an improved cascaded neural network is utilized to determine a Marketing Clearing Price (MCP) for energy in the wholesale market Russian. Research on MCP prediction has attracted lot of attention recent years. This study recommends unique approach based customized back propagation algorithm retraining, testing, and testing pricing over many months. research contributed developmen...