liberalization of energy price increases costs of agricultural inputs and costs of agricultural production. all these changes may affect the overall competitiveness of domestic products with similar foreign products. as a result of that, total cost of agricultural products are increased and profitability are decreased. in this paper, energy consumption for producing corn were calculated using c...

This study presents an optimal framework for the operation of integrated energy systems using demand response programs. The main goal of integrated energy systems is to optimally supply various demands using different energy carriers such as electricity, heating, and cooling. Considering the power market price, this work investigates the effects of multiple energy storage devices and demand res...

Present study investigates the effect of soaring residential electricity price on the welfare of rural individuals in Guilan Province by Almost Ideal Demand System (AIDS) in which the elasticity’s and welfare variations were calculated by Compensation Variations (CV) and Equivalent Variations (EV) for the time period of 1991-2012. It was shown that the absolute value of income and price elastic...

Industries are one of the main sources of pollution in the world. Besides, the levels of energy resources consumption including water, electricity, and fossil fuel are very different among industries. On the other hand, Iranian government pays a large amount of energy subsidy to manufacturing units. Because of it, the government wants to know which of manufacturing industries are efficient, pro...

real-time pricing schemes make the customers to feel the energy price volatility and improve their load profiles. however, these schemes have no significant effect on demand-side uncertainty reduction. in this paper, considering smart grid infrastructures and smart building energy management system (ems), a new real-time pricing scheme is presented to reduce the uncertainty of demand-side. in t...

this research studies the application of hybrid algorithms for predicting the prices of crude oil. brent crude oil price data and hybrid intelligent algorithm (time delay neural network, probabilistic neural network, and fuzzy logic) were used to build intelligent decision support systems for predicting crude oil prices. the proposed model was able to predict future crude oil prices from august...

In many economies, commodity price volatility is one of the sources of signaling to market players. Different experiences of price shocks have led economists to reconsider price shocks. Considering the effects of monetary policy on the inflation rate, the present study investigates the impact of monetary policy shock on the price of storable food commodities. In this regard, data for 2006: 01 t...