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Modeling and Forecasting the Electricity Demand for Major Economic Sectors of Iran

机译:伊朗主要经济部门的电力需求建模和预测

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The demand for electricity has been modeled in major economic sectors, industry and agriculture in this study, Also the demand for electricity has been forecasted in the both sectors until 2011. According to heterogeneity of industries with respect to equipment, products, technologies, processes and energy consumption, they are classified in two general groups of high energy and low energy consuming industries and the demand model has been separately presented for each group. The most important difference between high and low energy consuming industries is to consider the electricity intensity variable which is an index to the level of technology. Other variables of this model are price of industrial electricity, price of the substitute fuels and number of customers. According to the final model, electricity intensity and price of the substitute have positive impact on electricity consumption in this group. The demand model of electricity in low energy consuming industries consist number of the customers, price of electricity and electricity consumption in the last period that the significance of number of the customers variable came to the result in the proposed model. Also demand of electricity in the agricultural sector has been considered as a function of price, number of customers and consumption of the previous period. Results verify the significance of the above variables and it has been found that consumption of energy in the previous period plays a major role in this model.
机译:在此研究中,已对主要经济部门,工业和农业中的电力需求进行了建模,并且对这两个部门的电力需求都进行了预测,直到2011年。根据行业在设备,产品,技术,流程和能源消耗,将其分为高能耗和低能耗行业两大类,并且分别为每组分别提出了需求模型。高耗能行业和低耗能行业之间最重要的区别是要考虑电力强度变量,该变量是技术水平的指标。该模型的其他变量是工业用电的价格,替代燃料的价格和用户数量。根据最终模型,电力强度和替代品的价格对这一组的用电量有积极影响。低能耗行业的用电需求模型由用户数量,用电价格和上一时期的用电量组成,该模型的结果是用户数量变量的重要性。此外,农业部门的电力需求也被视为价格,前期用户数量和消费量的函数。结果证实了上述变量的重要性,并且发现前一时期的能源消耗在该模型中起主要作用。

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