Performance assessment of Iranian electricity distribution companies by an integrated cooperative game data envelopment analysis principal component analysis approach

Omrani, Hashem; Beiragh, Ramin Gharizadeh; Kaleibari, Saeed Shafiei

doi:10.1016/j.ijepes.2014.07.045

Cited by 48 publications

(25 citation statements)

References 57 publications

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“…The different types of games are categorized by number of players involved, symmetry of the game, and whether or not, cooperation among players is allowed. In the literature for power markets, the different game models used include: cooperative [34,35,36,37], non-cooperative [20,38], Stackelberg [9,39], multi-leader-follower [9], Forchheimer (one leader) [5], and Bertrand games (all players are leaders) [5]. Beside the application in power markets, game theory has been used in diverse, and related fields such as: analysis of Electric Vehicle (EV) charging station construction [40], charging method for plugged in hybrid EVs [41], analysis of power grid vulnerability [42], performance evaluation of thermal power plants [43], analysis of effects of higher domestic gas prices in Russia on the European gas market [44], and interactive energy management of networked microgrid-based active distribution systems [45].…”

Section: Introductionmentioning

confidence: 99%

Non-cooperative game-theoretic model of demand response aggregator competition for selling stored energy in storage devices

2017

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Section: Introductionmentioning

confidence: 99%

Non-cooperative game-theoretic model of demand response aggregator competition for selling stored energy in storage devices

2017

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“…A Monte Carlo simulation is further applied to generalize and compare two discrimination improving methods: (a) PCA applied to DEA, and (b) variable reduction based on partial covariance. The combination of PCA and DEA approach is also implemented by Omrani et al (2015) in an integrated approach in assessing efficiency performance of electricity distribution companies.…”

Section: Variable Reduction In Deamentioning

confidence: 99%

Shapley value-based multi-objective data envelopment analysis application for assessing academic efficiency of university departments

et al. 2018

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This paper adopts a modified approach of data envelopment analysis (DEA) to measure the academic efficiency of university departments. In real-world case studies, conventional DEA models often identify too many decision-making units (DMUs) as efficient. This occurs when the number of DMUs under evaluation is not large enough compared to the total number of decision variables. To overcome this limitation and reduce the number of decision variables, multiobjective data envelopment analysis (MODEA) approach previously presented in the literature is applied. The MODEA approach applies Shapley value as a cooperative game to determine the appropriate weights and efficiency score of each category of inputs. To illustrate the performance of the adopted approach, a case study is conducted in a university in the Philippines. The input variables are academic staff, non-academic staff, classrooms, laboratories, research grants, and department expenditures, while the output variables are the number of graduates and publications. The results of the case study revealed that all DMUs are inefficient. DMUs with efficiency scores close to the ideal efficiency score may be emulated by other DMUs with least efficiency scores.

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“…It has a wide application and has been used to evaluate efficiency in many fields, such as financial sector [17][18][19][20], police force performance [21], resource allocation [22,23], environmental efficiency [24,25], or electricity sector [26,27].…”

Section: Theoretical Backgroundsmentioning

confidence: 99%

Assessing the Efficiency of Public Universities through DEA. A Case Study

2017

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This paper presents the results of an efficiency study of Colombian public universities in 2012, conducted using the methodology of Data Envelopment Analysis (DEA) and the models CCR, BCC and SBM under output orientation. The main objective is to determine technical, pure technical, scale and mix efficiencies using data acquired from the Ministry of National Education. An analysis of the results shows the extent to which outputs of inefficient Higher Education Institutions (HEIs) could be improved and the possible cause of this inefficiency. The universities were also ranked using a Pareto efficient cross-efficiency model and a study was made of changes to overall productivity between 2011 and 2012. The results showed Tolima, Caldas and UNAD to be the best-performing universities, with Universidad del Pacífico as the worst performer.Malmquist index was applied to analyze the change in productivity from

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Performance assessment of Iranian electricity distribution companies by an integrated cooperative game data envelopment analysis principal component analysis approach

Cited by 48 publications

References 57 publications

Non-cooperative game-theoretic model of demand response aggregator competition for selling stored energy in storage devices

Non-cooperative game-theoretic model of demand response aggregator competition for selling stored energy in storage devices

Shapley value-based multi-objective data envelopment analysis application for assessing academic efficiency of university departments

Assessing the Efficiency of Public Universities through DEA. A Case Study

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