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Decomposition and decoupling analysis of electricity consumption carbon emissions in China

Frontiers of Engineering Management   Pages 486-498 doi: 10.1007/s42524-022-0215-3

Abstract: In this study, we build a power consumption carbon emission measurement model based on the operatingMoreover, we utilize the decoupling model to analyze the decoupling state between carbon emissions and

Keywords： electricity consumption carbon emission measurement     LMDI model     decoupling model     data driven    

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A study on specialist or special disease clinics based on big data

Zhuyuan Fang,Xiaowei Fan,Gong Chen

Frontiers of Medicine 2014, Volume 8, Issue 3,   Pages 376-381 doi: 10.1007/s11684-014-0356-9

Abstract:

Correlation analysis and processing of massive medical information can be implemented through bigmodel construction.Medical data can be collected and consolidated by distributed computing technology.Through analysis technology, such as artificial neural network and grey model, a medical model can beBig data analysis, such as Hadoop, can be used to construct early prediction and intervention models

Keywords： big data     correlation analysis     medical information     integration     data analysis     clinical model    

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Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Frontiers in Energy 2017, Volume 11, Issue 2,   Pages 175-183 doi: 10.1007/s11708-017-0471-9

Abstract: minimal-redundancy-maximal-relevance (mRMR), while the latter does so based on the method of principal component analysisThe proposed model is simple and easy to use with parameters optimized automatically.

Keywords： wind power forecasting     feature set     minimal-redundancy-maximal-relevance (mRMR)     principal component analysis(PCA)     locally weighted learning model    

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Industrial eco-efficiency and its spatial-temporal differentiation in China

Wei YANG, Fengjun JIN, Chengjin WANG, Chen LV

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 4,   Pages 559-568 doi: 10.1007/s11783-012-0400-4

Abstract: Using methods based on the data envelopment analysis (DEA) model and exploratory spatial data analysis(ESDA) and data from 1985, 1995, 2005, and 2008 of 30 provinces in China, the spatial-temporal pattern

Keywords： industrial eco-efficiency     data envelopment analysis (DEA) model     exploratory spatial data analysis (ESDA    

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A data envelopment analysis of agricultural technical efficiency of Northwest Arid Areas in China

Yubao WANG, Lijie SHI, Haojie ZHANG, Shikun SUN

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 2,   Pages 195-207 doi: 10.15302/J-FASE-2017153

Abstract: This paper adopted an input-oriented data envelopment analysis (DEA) method with the assumption of variable

Keywords： agricultural production efficiency     DEA model     input redundancy     irrigation districts     Northwest Arid Areas    

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Static-based early-damage detection using symbolic data analysis and unsupervised learning methods

João Pedro SANTOS,Christian CREMONA,André D. ORCESI,Paulo SILVEIRA,Luis CALADO

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 1,   Pages 1-16 doi: 10.1007/s11709-014-0277-3

Abstract: The present paper aims at detecting this type of damage by using static SHM data and by assuming thatTo achieve this objective a data driven strategy is proposed, consisting of the combination of advancedstatistical and machine learning methods such as principal component analysis, symbolic data analysisand cluster analysis.From this analysis it was observed that, under the noise levels measured on site, the proposed strategy

Keywords： structural health monitoring     early-damage detection     principal component analysis     symbolic data     symbolicdissimilarity measures     cluster analysis     numerical model     damage simulations    

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Shallow foundation response variability due to soil and model parameter uncertainty

Prishati RAYCHOWDHURY,Sumit JINDAL

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 3,   Pages 237-251 doi: 10.1007/s11709-014-0242-1

Abstract: The present work intends to investigate the effect of soil and model parameter uncertainty on the responseThe sensitivity of both soil and model input parameters on shallow foundation responses are investigatedusing first-order second-moment (FOSM) analysis and Monte Carlo simulation through Latin hypercube samplinghighly sensitive soil parameters, such as friction angle, Poisson’s ratio and shear modulus, rather than modelthe importance of proper characterization of soil parameters for reliable soil-foundation response analysis

Keywords： shallow foun dation     sensitivity analysis     centrifuge data     first-order-second-moment (FOSM) method     parameter    

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of ICUs and weight of quality control indicators: an exploratory study based on Chinese ICU quality data

Frontiers of Medicine 2023, Volume 17, Issue 4,   Pages 675-684 doi: 10.1007/s11684-022-0970-x

Abstract: The data for this study were from 31 provincial and municipal hospitals (3425 hospital ICUs) and includedWhen exploratory factor analysis was applied, the 15 indicators were divided into 6 core elements that

Keywords： critical care medicine     quality control     evaluation     exploratory factor analysis (EFA) model    

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Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Frontiers in Energy doi: 10.1007/s11708-023-0912-6

Abstract: With the promotion of “dual carbon” strategy, data center (DC) access to high-penetration renewable energyIn this paper, a multi-timescale optimal scheduling model is established for interconnected data centers(IDCs) based on model predictive control (MPC), including day-ahead optimization, intraday rolling optimization

Keywords： model predictive control     interconnected data center     multi-timescale     optimized scheduling     distributed    

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Development and case study of a new-generationmodel-VAT for analyzing the boundary conditions influence on atmosphericmercury simulation

Wenwei Yang, Yun Zhu, Carey Jang, Shicheng Long, Che-Jen Lin, Bin Yu, Zachariah Adelman, Shuxiao Wang, Jia Xing, Long Wang, Jiabin Li

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 1, doi: 10.1007/s11783-018-1010-6

Abstract: To interpret the complicated atmospheric modelsimulations, a new-generation Model Visualization and AnalysisTool(Model-VAT) has been developed for scientists to analyze the modeldata and visualize the simulationThe Model-VAT incorporatesanalytic functions of conventional tools and enhanced capabilitiesin flexiblyof Model-VAT enhancesthe efficiency of analyzing and comparing the model results from variousatmosphericmodel simulations.

Keywords： Model and data visualization     Model and data analysis     CMAQ     Boundary conditions     Mercury    

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A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 2, doi: 10.1007/s11783-023-1622-3

Abstract:

● A novel deep learning framework for short-term water demand forecasting.

Keywords： forecasting     Long-short term memory neural network     Convolutional Neural Network     Wavelet multi-resolution analysis     Data-driven models    

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Answer for questions of repeated measurements of variance analysis and distribution test of data — Authors

Frontiers of Medicine 2022, Volume 16, Issue 4,   Pages 661-664 doi: 10.1007/s11684-021-0907-9

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Integrating storm surge modeling with traffic data analysis to evaluate the effectiveness of hurricane

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6,   Pages 1301-1316 doi: 10.1007/s11709-021-0765-1

Abstract: An integrated storm surge modeling and traffic analysis were conducted in this study to assess the effectivenessThe Advanced Circulation (ADCIRC) model was applied to simulate storm tides during the hurricane eventModel simulated storm tides and winds were used to estimate the area affected by Hurricane Irma.moderate storm tides (maximum about 2.5 m) and maximum wind speed about 115 mph were shown in both modelTraffic data were used to analyze the evacuation traffic patterns.

Keywords： storm surge modeling     traffic     evacuation     Hurricane Irma    

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Data driven models for compressive strength prediction of concrete at high temperatures

Mahmood AKBARI, Vahid JAFARI DELIGANI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2,   Pages 311-321 doi: 10.1007/s11709-019-0593-8

Abstract: The use of data driven models has been shown to be useful for simulating complex engineering processes, when the only information available consists of the data of the process.In this study, four data-driven models, namely multiple linear regression, artificial neural network,In addition for each model, two different sets of input variables are examined: a complete set and aalso to the equations of NIST Technical Note standard and demonstrate the suitability of using the data

Keywords： data driven model     compressive strength     concrete     high temperature    

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Effectiveness of state incentives for promoting wind energy: A panel data examination

Deepak SANGROYA,Jogendra NAYAK

Frontiers in Energy 2015, Volume 9, Issue 3,   Pages 247-258 doi: 10.1007/s11708-015-0364-8

Abstract: Fixed effect panel data modelling technique of econometric analysis is used to analyse the data of 26

Keywords： India     wind energy development     state incentives     econometric analysis     panel data    

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Title Author Date Type Operation

Decomposition and decoupling analysis of electricity consumption carbon emissions in China

Journal Article

A study on specialist or special disease clinics based on big data

Zhuyuan Fang,Xiaowei Fan,Gong Chen

Journal Article

Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Journal Article

Industrial eco-efficiency and its spatial-temporal differentiation in China

Wei YANG, Fengjun JIN, Chengjin WANG, Chen LV

Journal Article

A data envelopment analysis of agricultural technical efficiency of Northwest Arid Areas in China

Yubao WANG, Lijie SHI, Haojie ZHANG, Shikun SUN

Journal Article

Static-based early-damage detection using symbolic data analysis and unsupervised learning methods

João Pedro SANTOS,Christian CREMONA,André D. ORCESI,Paulo SILVEIRA,Luis CALADO

Journal Article

Shallow foundation response variability due to soil and model parameter uncertainty

Prishati RAYCHOWDHURY,Sumit JINDAL

Journal Article

of ICUs and weight of quality control indicators: an exploratory study based on Chinese ICU quality data

Journal Article

Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Journal Article

Development and case study of a new-generationmodel-VAT for analyzing the boundary conditions influence on atmosphericmercury simulation

Wenwei Yang, Yun Zhu, Carey Jang, Shicheng Long, Che-Jen Lin, Bin Yu, Zachariah Adelman, Shuxiao Wang, Jia Xing, Long Wang, Jiabin Li

Journal Article

A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Journal Article

Answer for questions of repeated measurements of variance analysis and distribution test of data — Authors

Journal Article

Integrating storm surge modeling with traffic data analysis to evaluate the effectiveness of hurricane

Journal Article

Data driven models for compressive strength prediction of concrete at high temperatures

Mahmood AKBARI, Vahid JAFARI DELIGANI

Journal Article

Effectiveness of state incentives for promoting wind energy: A panel data examination

Deepak SANGROYA,Jogendra NAYAK

Journal Article