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Abstract

Accurate prediction of power load plays a crucial role in the power industry and provides economic operation decisions for the power operation department. Due to the unpredictability and periodicity of power load, an improved method to deal with complex nonlinear relation was adopted, and a short-term load forecasting model combining FEW (fuzzy exponential weighting) and IHS (improved harmonic search) algorithms was proposed. Firstly, the domain space was defined, the harmony memory base was initialized, and the fuzzy logic relation was identified. Then the optimal interval length was calculated using the training sample data, and local and global optimum were updated by optimization criteria and judging criteria. Finally, the optimized parameters obtained by an IHS algorithm were applied to the FEW model and the load data of the Huludao region (2013) in Northeast China in May. The accuracy of the proposed model was verified using an evaluation criterion as the fitness function. The results of error analysis show that the model can effectively predict short-term power load data and has high stability and accuracy, which provides a reference for application of short-term prediction in other industrial fields.

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Authors and Affiliations

Mingxing Yu
Jiazheng Zhu
Li Yang
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Abstract

Since the implementation of the compulsory sorting of domestic waste policy in China, the participation rate of residents is low, which leads to the unsatisfactory result of terminal reduction of domestic waste. Therefore, the problem of domestic waste reduction still needs to rely on source reduction. Based on the panel data of 29 provincial capitals in China from 2009 to 2018, this study conducts a comprehensive threshold effect test on per capita GDP and other influencing factors of domestic waste production, conducts panel threshold regression for the factors with threshold value, and explores the nonlinear relationship between per capita GDP and domestic waste production under the influence of different threshold variables. The results show that when the urban population density is less than 272 people/km2, the increase of 1% of per capita GDP will lead to a decrease of 0.251% in the domestic waste production, otherwise, it will lead to an increase of 0.249%; when the per capita consumption expenditure is less than the threshold value of 10,260 yuan/year, the influence coefficient of per capita GDP is 0.155, which increases to 0.207 above the threshold. When the share of tertiary industry is taken as the threshold variable, the two threshold values are 61% and 71% respectively. Through the analysis of control variables, it has been found that population size and amount of courier per capita have significant positive effects on domestic waste production, while gas permeability and the number of non-governmental organizations have significant negative effects
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Authors and Affiliations

Li Yang
1
ORCID: ORCID
Hong-Yan Wang
1
Lan Yi
2
Xiang-Zhen Shi
1
Wei Deng
1

  1. International Business School, Shaanxi Normal University, China
  2. Jinhe Center for Economic Research, Xi’an Jiaotong University, China
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Abstract

The stainless steel/aluminum multilayer composites were prepared by one-step explosive welding using ammonium nitrate explosive with two different thicknesses. The microstructure and mechanical properties of the multilayer composites were examined. There is a thin metallurgical melting zone at each bonding interface, consisting mostly of iron and aluminum elements. However, the micro-crack appears in the second metallurgical bonding zone obtained using the explosive of 24 mm thickness. The micro-hardness values at the four bonding interfaces are higher than those of bulk 1060 aluminum and 304 stainless steel. The yield strength of the multilayer composites obtained in the two cases is higher than that of the original 304 stainless steel while the tensile strength is between those of the original 1060 aluminum and 304 stainless steel. Meanwhile, the tensile strength and yield strength of multilayer composites obtained by explosive welding with explosive of 20 mm thickness are relatively higher.
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Authors and Affiliations

Xiaoyan Hu
1
ORCID: ORCID
Yingbin Liu
1
ORCID: ORCID
Li Yang
2
ORCID: ORCID
Xiaochen Huang
3
ORCID: ORCID

  1. North University of China, School of Environment and Safety Engineering, Taiyuan 030051, China
  2. Military Products Research Institute, Shanxi Jiangyang Chemical Co., Ltd., Taiyuan 030051, China
  3. Capital Aerospace Machinery Corporation Limited, Beijing 100076, China
Download PDF Download RIS Download Bibtex

Abstract

The stainless steel/aluminum multilayer composites were prepared by one-step explosive welding using ammonium nitrate explosive with two different thicknesses. The microstructure and mechanical properties of the multilayer composites were examined. There is a thin metallurgical melting zone at each bonding interface, consisting mostly of iron and aluminum elements. However, the micro-crack appears in the second metallurgical bonding zone obtained using the explosive of 24 mm thickness. The micro-hardness values at the four bonding interfaces are higher than those of bulk 1060 aluminum and 304 ­stainless steel. The yield strength of the multilayer composites obtained in the two cases is higher than that of the original 304 stainless steel while the tensile strength is between those of the original 1060 aluminum and 304 stainless steel. Meanwhile, the tensile strength and yield strength of multilayer composites obtained by explosive welding with explosive of 20 mm thickness are relatively higher.
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Authors and Affiliations

Xiaoyan Hu
1
ORCID: ORCID
Yingbin Liu
1
ORCID: ORCID
Li Yang
2
ORCID: ORCID
Xiaochen Huang
3
ORCID: ORCID

  1. North University of China, School of Environment and Safety Engineering, Taiyuan 030051, China
  2. Military Products Research Institute, Shanxi Jiangyang Chemical Co., Ltd., Taiyuan 030051, China
  3. Capital Aerospace Machinery Corporation Limited, Beijing 100076, China

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