首页> 外文期刊>International Journal of Engineering Science and Technology >PREDICTING INDIA?S DOMESTIC SECTOR ELECTRICITY CONSUMPTION A COMPARISON OF GENETIC ALGORITHM AND DIFFERENTIAL EVOLUTION
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PREDICTING INDIA?S DOMESTIC SECTOR ELECTRICITY CONSUMPTION A COMPARISON OF GENETIC ALGORITHM AND DIFFERENTIAL EVOLUTION

机译:预测印度的国内部门电力消耗-遗传算法与微分进化的比较

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The main objective of the present study is to apply the meta-heuristic techniques such as Genetic Algorithm (GA) and Differential evolution (DE) to estimate the electricity consumption (EC) of domestic sector (DS) in India. Population, per capita GDP and Electricity production were selected as independent variables. The models are developed in exponential form is proposed to forecast the DS-EC of India. Results of the comparison showed that the performance values of the DE method are better than the performance values of the GA. According to obtained results, Mean Absolute Percentage Error (MAPE) of the DE model provides better-fit solutions. DS-EC of India is forecasted up to the year 2025. According to the DE model, India?s DS-EC will increase to a value of 440931.68 Giga Watt hour (GWh).
机译:本研究的主要目的是应用元启发式技术,例如遗传算法(GA)和差异进化(DE)来估计印度家庭部门(DS)的电力消耗(EC)。人口,人均GDP和电力生产被选为自变量。该模型以指数形式开发,用于预测印度的DS-EC。比较结果表明,DE方法的性能值优于GA的性能值。根据获得的结果,DE模型的平均绝对百分比误差(MAPE)提供了更好的解决方案。印度的DS-EC预计到2025年。根据DE模型,印度的DS-EC值将增加到440931.68吉瓦时(GWh)。

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