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首页> 外文期刊>Energy Conversion & Management >Energy management and optimization modeling based on a novel fuzzy extreme learning machine: Case study of complex petrochemical industries
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Energy management and optimization modeling based on a novel fuzzy extreme learning machine: Case study of complex petrochemical industries

机译：基于新型模糊极限学习机的能源管理和优化建模：复杂石油化工行业案例研究

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摘要

Energy management and optimization play a key effect in the sustainable development. However, the uncertain data has a direct impact on the production prediction and energy optimization of complex petrochemical industries. Therefore, this paper proposes a novel energy management and optimization model based on the fuzzy extreme learning machine (FELM) method integrated the fuzzy set theory. The minimal, the median and the maximal values of the energy consumption data are obtained by data fuzzification to solve the problem of the fluctuation and uncertainty data. And the cross recombination of triangular fuzzy numbers (TFNs) is applied in the training of the FELM. Moreover, the upper and the lower limits of efficiency values are obtained on the basis of the network generalization to analyze the energy conservation and saving potentials. Furthermore, the FELM has better predictive performance and training speed than fuzzy error back propagation network (FBP) and fuzzy radical basis function network (FRBF) though University of California Irvine (UCI) standard datasets. Finally, the proposed method is applied to manage and optimize the energy status of China ethylene industry in complex petrochemical industries. The experimental results show that the proposed method is effective and applicable in the energy-saving potential, which is indicated up to about 15%.
机译：能源管理和优化在可持续发展中起着关键作用。但是，不确定的数据直接影响复杂石化行业的产量预测和能源优化。因此，本文提出了一种基于模糊极限学习机（FELM）方法并结合模糊集理论的新型能源管理和优化模型。通过数据模糊化获得能耗数据的最小值，中位数和最大值，以解决波动和不确定性数据的问题。三角模糊数（TFNs）的交叉重组被应用于FELM的训练。此外，在网络概括的基础上获得效率值的上限和下限，以分析节能潜力。此外，通过加州大学尔湾分校（UCI）标准数据集，FELM比模糊误差反向传播网络（FBP）和模糊根基函数网络（FRBF）具有更好的预测性能和训练速度。最后，将所提出的方法应用于管理和优化复杂石化行业中中国乙烯行业的能源状况。实验结果表明，该方法在节能潜力方面是有效和适用的，据指出，该方法可节能约15％。

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