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Short term load forecasting (STLF) is one of the important issues in the energy management of power systems. Increasing the accuracy of STLF results leads to improving the energy system scheduling and decreasing the operating costs. Different methods have been proposed and applied in the STLF problem such as neural network, fuzzy system, regression-based and neuro-fuzzy methods. This paper investigates...
In recent years, livestock production sector has significantly grown associated with increasing of environmental impacts. In the present research 90 broiler farms in Isfahan Providence, Iran, were considered to be evaluated in terms view of environmental impacts. The aim of the present research is reducing environmental impacts of the studied farms by data envelopment analysis. By the method, efficiency...
Reducing tillage practices results in lower energy consumption as well as soil erosion protection, structural damage control, and a reduction in time and energy required for seedbed preparation. This research was conducted at the Dryland Agricultural Research Institute in Maragheh region of Iran to determine the amount of input energy for different tillage systems. The study was planned as a completely...
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