During the past few years, modeling in agriculture has attracted considerable attention. New modeling methods including neural networks are employed in various industries, and it is necessary that their use in agriculture be also considered. This research addressed the trend of energy use in broiler farms in Alborz Province and sought to model the trend of energy consumption and production in t...

the paper presents an analysis of both energy intensity and energy demand for the italianindustrial sector. the aim of the paper is twofold: making a decomposition of energy intensity at the aggregate level and modeling energy demand at the firm level. the decomposition of energy intensity shows different patterns for the different sub-sectors in the period of interest. in the micro approach, p...

Introduction: In Single Photon Emission Computed Tomography (SPECT), the projection data used for image reconstruction are distorted by several factors, including attenuation and scattering of gamma rays, collimator structure, data acquisition method, organ motion, and washout of radiopharmaceuticals. All these make reconstruction of a quantitative SPECT image very difficult. Simulation of a SP...

The using of double heat pipe based heat exchanger (HPHX) in a conventional fully fresh air air-conditioning (AC) system was examined in the present study. The fabricated HPHXs were tested under the actual conditions and the measured data were used to study the performance of the existing AC system (System A) and AC system equipped with the double HPHX (System B) for a yearly operation through ...

Energy system models underpin decisions by energy planners and operators. modeling faces a transformation: accounting for changing meteorological conditions imposed climate change. To enable that transformation, community of practice in energy-climate has started to form aims better integrate with weather models. Here, we evaluate the disconnects between communities, then lay out research agend...

This study addresses a stochastic structure for generation companies (GenCoʼs) that participate in hydro-thermal self-scheduling with a wind power plant on short-term scheduling for simultaneous reserve energy and energy market. In stochastic scheduling of HTSS with a wind power plant, in addition to various types of uncertainties such as energy price, spinning /non-spinning reserve prices, unc...

During the past few years, modeling in agriculture has attracted considerable attention. New modeling methods including neural networks are employed in various industries, and it is necessary that their use in agriculture be also considered. This research addressed the trend of energy use in broiler farms in Alborz Province and sought to model the trend of energy consumption and production in t...

this study aimed to analyze and modeling of energy and performance of dryland chickpea adaptive neuro-fuzzy inference system utilizes (anfis) in dryland chickpea production is done in the city of bukan. data were collected from 70 producers of chickpeas using face to face interviews with farmers and completing the questionnaire specialized. size of land was between 2 and 10 hectares. input fact...

In the present study, the energetic and economic modeling of lentil and chickpea production in Esfahan province of Iran was conducted using adaptive neuro-fuzzy inference system (ANFIS) and linear regression. Data were taken by interviewing and visiting of 140 lentil farms and 110 chickpea farms during 2014-2015 production period. The results showed that the yield and total energy consumpti...