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Sustainability performance analysis of environment innovation systems using a two-stage network DEA model

Frontiers of Engineering Management 2022, Volume 9, Issue 3, Pages 425-438 doi: 10.1007/s42524-022-0205-5

Abstract: A two-stage data envelopment analysis (DEA) model is developed in this study to analyze the efficiency

Keywords： data envelopment analysis environmental efficiency environmental innovation system shared resources

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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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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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Feasibility of using wind turbines for renewable hydrogen production in Firuzkuh, Iran

Ali MOSTAFAEIPOUR, Mojtaba QOLIPOUR, Hossein GOUDARZI

Frontiers in Energy 2019, Volume 13, Issue 3, Pages 494-505 doi: 10.1007/s11708-018-0534-6

Abstract: and hydrogen production in Firuzkuh area using the decision making trial and evaluation (DEMATEL) and dataenvelopment analysis (DEA) methods.The results show that the GE 1.5sl model wind turbine is suitable for wind farm construction.The average annual hydrogen production would be 1014 kg for Firuzkuh by using the GE 1.5sl model turbine

Keywords： wind turbine hydrogen production HOMER software decision making trial and evaluation (DEMATEL) data envelopmentanalysis (DEA) Firuzkuh

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Tender evaluation through efficiency analysis for public construction contracts

Stefan NIEWERTH, Peter VOGT, Markus THEWES

Frontiers of Engineering Management 2022, Volume 9, Issue 1, Pages 148-158 doi: 10.1007/s42524-020-0119-z

Abstract: The technique from the field of efficiency analysis, i.e., Data Envelopment Analysis (DEA), is adoptedFor contract awarding, the DEA is extended by introducing a decision theoretical framework.

Keywords： bid evaluation public procurement best value for money data envelopment analysis contractor selection

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Efficiency measurement for mixed two-stage nonhomogeneous network processes with shared extra intermediate resources

Qingxian AN, Xuyang LIU, Shijie DING

Frontiers of Engineering Management 2020, Volume 7, Issue 2, Pages 259-274 doi: 10.1007/s42524-019-0080-x

Abstract: This study proposes a data-driven, mixed two-stage network data envelopment analysis model.A data set of 58 international hotels is used to test the features of the proposed model.

Keywords： shared resource allocation mixed two-stage system data envelopment analysis efficiency

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Techno-economic characteristics of wastewater treatment plants retrofitted from the conventional activated sludge process to the membrane bioreactor process

Frontiers of Environmental Science & Engineering doi: 10.1007/s11783-021-1483-6

Abstract:

While a growing number of wastewater treatment plants (WWTPs) are being retrofitted from the conventional activated sludge (CAS) process to the membrane bioreactor (MBR) process, the debate on the techno-economy of MBR vs. CAS has continued and calls for a thorough assessment based on techno-economic valuation.

Keywords： Membrane bioreactor (MBR) Conventional activated sludge (CAS) Cost-benefit analysis Data envelopmentanalysis Net profit

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Evaluating R&D efficiency of China’s listed lithium battery enterprises

Frontiers of Engineering Management 2022, Volume 9, Issue 3, Pages 473-485 doi: 10.1007/s42524-022-0213-5

Abstract: Specifically, data envelopment analysis (DEA) was used as the primary approach based on evidence from

Keywords： Data Envelopment Analysis R&D investment efficiency China’s listed lithium battery enterprises technical

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Methods and applications of DEA cross-efficiency: Review and future perspectives

Jie WU, Jiasen SUN, Liang LIANG

Frontiers of Engineering Management 2021, Volume 8, Issue 2, Pages 199-211 doi: 10.1007/s42524-020-0133-1

Abstract: The traditional self-evaluation data envelopment analysis (DEA) method usually exaggerates the effectsCompared with the DEA method, CREE can rank DMUs more completely by using reasonable weights.and applications of CREE, including the non-uniqueness problem, the aggregation of cross-efficiency data

Keywords： cross-efficiency evaluation efficiency secondary goal model aggregation review

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Decomposition and decoupling analysis of electricity consumption carbon emissions in China

Frontiers of Engineering Management 2022, Volume 9, Issue 3, 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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A Review on the Research and Application of DEA

Li Meijuan,Chen Guohong

Strategic Study of CAE 2003, Volume 5, Issue 6, Pages 88-94

Abstract:

This paper first presents basic ideas, models and application steps for data envelopment analysis(DEA), then summarizes the development and main application fields of DEA as well as some main research

Keywords： DEA DMU relative effectiveness the directions for future research

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

Frontiers in Energy 2024, Volume 18, Issue 1, Pages 28-41 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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Title Author Date Type Operation

Sustainability performance analysis of environment innovation systems using a two-stage network DEA model

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

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

Wei YANG, Fengjun JIN, Chengjin WANG, Chen LV

Journal Article

Feasibility of using wind turbines for renewable hydrogen production in Firuzkuh, Iran

Ali MOSTAFAEIPOUR, Mojtaba QOLIPOUR, Hossein GOUDARZI

Journal Article

Tender evaluation through efficiency analysis for public construction contracts

Stefan NIEWERTH, Peter VOGT, Markus THEWES

Journal Article

Efficiency measurement for mixed two-stage nonhomogeneous network processes with shared extra intermediate resources

Qingxian AN, Xuyang LIU, Shijie DING

Journal Article

Techno-economic characteristics of wastewater treatment plants retrofitted from the conventional activated sludge process to the membrane bioreactor process

Journal Article

Evaluating R&D efficiency of China’s listed lithium battery enterprises

Journal Article

Methods and applications of DEA cross-efficiency: Review and future perspectives

Jie WU, Jiasen SUN, Liang LIANG

Journal Article

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