Integrated IDA–ANN–DEA for assessment and optimization of energy consumption in industrial sectors

Olanrewaju, Oludolapo Akanni; Jimoh, A.A.; Kholopane, P.

doi:10.1016/j.energy.2012.07.037

“…With an aim to create a successful energy management program, also a multi criteria analysis is used to optimize different parameters [16], and decomposition analysis [17], and the net of artificial neurons [18]. In order to determine the boundaries of DH efficiency, the Data Envelopment Analysis is used in other researches [19]. Irrespective of the fact that in several researches development strategies of separate DH parts of the 4GDH are examined, the system is still being insufficiently analyzed in its entirety.…”

Section: Introductionmentioning

confidence: 99%

System dynamics model analysis of pathway to 4th generation district heating in Latvia

Ziemele

¹

,

Grāvelsiņš

²

,

Blumberga

³

et al. 2016

Energy

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“…The approach assessed a 44.9% of potential energy saving within the period under study. A similar approach applied to the Canadian Industrial Sector (i.e., Olanrewaju et al, 2012), assessed a potential energy saving of 0.47% at a different period of investigation. This indicated that a developing country like South Africa required to improve its energy use by 95 times to be on the same level as a developed country like Canada (Olanrewaju et al, 2013).…”

Section: Literature Reviewmentioning

confidence: 99%

“…The integrated approach was successfully tested in 15 sectors of the Canadian industrial manufacturing sectors (Olanrewaju et al, 2012). Olanrewaju et al (2012) used integrated IDA-ANN-DEA model to do the energy potential in the South African industry. The approach assessed a 44.9% of potential energy saving within the period under study.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Cooperative Mechanism based on Data Envelopment Analysis and Artificial Neural Network to Measure Efficiency: Case Study of Iranian Ports

Mousavizadeh

¹

,

Khalili‐Damghani

²

2017

IJADS

0

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Ports are main parts of business and transportation in every country. So, measuring the efficiency of ports is essential. There are several criteria involved in assessment of ports performance. This paper presents a cooperative approach based on data envelopment analysis (DEA) and artificial neural network (ANN) to measure the efficiency and ranking of 11 main ports in Iran. The results show that the DEA-ANN approach outperforms classic DEA approach. The proposed approach provides following advantages: 1) high discrimination power in presence of low number of decision making units (DMUs) and high number of inputs and outputs; 2) suitable estimation of future production function; 3) providing a proper estimation of future efficiency scores; 4) no need to use super-efficiency models to rank the DMUs. The proposed model of this study can help managers to evaluate the performance of DMUs on the basis of future estimated inputs and outputs.Keywords: data envelopment analysis; DEA; artificial neural network; ANN; hybrid DEA-ANN; efficiency measurement; port efficiency; Iran. He has published more than 80 scientific papers in international journals and conferences. He serves as an Associate Editor of six international scientific journals. His researches can be found at: http://kaveh-khalili.webs.com. His research interests are computational intelligence, soft computing, data envelopment analysis, fuzzy optimisation and decision-making, applied operations research.

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“…This was the first study in which IDA, ANN, and DEA were integrated into an approach for assessment of energy consumption in industrial sectors. The integrated approach was successfully tested in 15 sectors of the Canadian industrial manufacturing sectors (Olanrewaju et al, 2012). Olanrewaju et al (2012) used integrated IDA-ANN-DEA model to do the energy potential in the South African industry.…”

Section: Literature Reviewmentioning

confidence: 99%

Cooperative mechanism based on data envelopment analysis and artificial neural network to measure efficiency: case study of Iranian ports

Mousavizadeh

¹

,

Khalili‐Damghani

²

2017

IJADS

View full text Add to dashboard Cite

Ports are main parts of business and transportation in every country. So, measuring the efficiency of ports is essential. There are several criteria involved in assessment of ports performance. This paper presents a cooperative approach based on data envelopment analysis (DEA) and artificial neural network (ANN) to measure the efficiency and ranking of 11 main ports in Iran. The results show that the DEA-ANN approach outperforms classic DEA approach. The proposed approach provides following advantages: 1) high discrimination power in presence of low number of decision making units (DMUs) and high number of inputs and outputs; 2) suitable estimation of future production function; 3) providing a proper estimation of future efficiency scores; 4) no need to use super-efficiency models to rank the DMUs. The proposed model of this study can help managers to evaluate the performance of DMUs on the basis of future estimated inputs and outputs.Keywords: data envelopment analysis; DEA; artificial neural network; ANN; hybrid DEA-ANN; efficiency measurement; port efficiency; Iran. He has published more than 80 scientific papers in international journals and conferences. He serves as an Associate Editor of six international scientific journals. His researches can be found at: http://kaveh-khalili.webs.com. His research interests are computational intelligence, soft computing, data envelopment analysis, fuzzy optimisation and decision-making, applied operations research.

show abstract

Integrated IDA–ANN–DEA for assessment and optimization of energy consumption in industrial sectors

Cited by 70 publications

References 30 publications

System dynamics model analysis of pathway to 4th generation district heating in Latvia

System dynamics model analysis of pathway to 4th generation district heating in Latvia

Cooperative Mechanism based on Data Envelopment Analysis and Artificial Neural Network to Measure Efficiency: Case Study of Iranian Ports

Cooperative mechanism based on data envelopment analysis and artificial neural network to measure efficiency: case study of Iranian ports

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