The use of grey-based methods in multi-criteria decision analysis for the evaluation of sustainable energy systems: A review

Arce, Elena; Saavedra, Ángeles; Mı́guez, J.L.; Granada, Enrique

doi:10.1016/j.rser.2015.03.010

Cited by 132 publications

(30 citation statements)

References 115 publications

(162 reference statements)

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“…Quantitatively, a Grey relational analysis (GRA) was conducted to examine these six factors' correlation to the water level variation. GRA is a measure of the difference between data sequences and can be used to analyze the degree of correlation between these sequences [38]. Let the reference sequence and sequence for comparison be represented as x o (k) and x i (k), i = 1, 2, ..., 6; k = 1, 2, ..., n, respectively, where n is the total number of observations.…”

Section: Variable Selectionmentioning

confidence: 99%

Dongting Lake Water Level Forecast and Its Relationship with the Three Gorges Dam Based on a Long Short-Term Memory Network

Liang

Ming-jun

et al. 2018

Water

103

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To study the Dongting Lake water level variation and its relationship with the upstream Three Gorges Dam (TGD), a deep learning method based on a Long Short-Term Memory (LSTM) network is used to establish a model that predicts the daily water levels of Dongting Lake. Seven factors are used as the input for the LSTM model and eight years of daily data (from 2003 to 2012) are used to train the model. Then, the model is applied to the test dataset (from 2011 to 2013) for forecasting and is evaluated using the root mean squared error (RMSE) and the coefficient of determination (R2). The test shows the LSTM model has better accuracy compared to the support vector machine (SVM) model. Furthermore, the model is adjusted to simulate the situation where the TGD does not exist to explore the dam’s impact. The experiment shows that the water level of Dongting Lake drops conspicuously every year from September to November during the TGD impounding period, and the water level increases mildly during dry seasons due to TGD replenishment. Additionally, the impact of the TGD results in a water level decline in Dongting Lake during flood peaks and a subsequent lagged rise. This research provides a tool for flood forecasting and offers a reference for TGD water regulation.

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Section: Variable Selectionmentioning

confidence: 99%

Dongting Lake Water Level Forecast and Its Relationship with the Three Gorges Dam Based on a Long Short-Term Memory Network

Liang

Ming-jun

et al. 2018

Water

103

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“…Nevertheless, a comparison of the results reveals that the main evaluation criteria are similar. Wang et al [25] also observe a comparable occurrence of criteria in their review on MCDA aid in sustainable energy decision-making, whereas Arce et al [28] find similar criteria, but with different occurrences. Contrary to our findings, though, technical efficiency criteria are relatively often used in the papers appeared in the review by Arce et al [28] whereas only one social criterion, called the human/technological impact, is included in their list.…”

Section: Ren Et Al [15]mentioning

confidence: 91%

“…Thus, and due to this wider research focus, the review papers discussed above are neither able nor do they intend to provide a comparison of the results obtained. Accordingly, the list of evaluation criteria found in Wang et al [25] and Arce et al [28] are formed from papers with a much broader study range than ours. The particular scope of our analysis allows us to compare the study setups and results of similar papers.…”

Section: Overview Of Other Similar Literature Reviewsmentioning

confidence: 96%

“…Arce et al [28] provide a literature review on papers applying grey-based MCDA analysis to the evaluation of sustainable energy systems. Similar to Wang et al [25], they count the use of different criteria and find technical efficiency and maturity, followed by operational and maintenance costs, GHG emissions and investment costs to be most often applied.…”

Section: Overview Of Other Similar Literature Reviewsmentioning

confidence: 99%

See 1 more Smart Citation

Multi-Criteria Decision Analysis of Road Transportation Fuels and Vehicles: A Systematic Review and Classification of the Literature

Kügemann

Polatidis

2019

Energies

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Multi-Criteria Decision Analysis (MCDA) methods help decision makers to consider and weigh diverse criteria that include economic, environmental, social and technological aspects. This characteristic makes them a popular tool to comparatively evaluate road transportation fuels and vehicles (RTFV). The aim of this paper is to systematically classify and analyse the literature applying MCDA methods on the evaluation of RTFV. To this end, 40 relevant papers are pinpointed and discussed. We identified a great number of evaluation criteria employed in the reviewed papers from which we have established a concluding list of 41 criteria, that can serve as a pool for future research. A further analysis of the evaluation criteria reveals that the process of criteria selection partly suffers from a lack of scientific foundation and standardization. We propose to standardize the criteria selection process by using the Life Cycle Sustainability Assessment (LCSA) methodology as a guiding reference. In addition, we compared the MCDA results obtained from studies with relatively similar setups and found that the evaluation results are also generally similar and seem not to be influenced by the particular MCDA method employed. Based on the results of the reviewed papers, one may say that electricity and ethanol appear to be good alternatives for light vehicles, whereas gaseous fuels seem more appropriate for heavy vehicles like buses. Striking deviations from these generally observed results are often caused by specific evaluation contexts, particular criteria taken into account and unusual weight sets applied.The last category (c) is concerned with hydrogen in particular, as is a potential energy carrier in the aforementioned fuel cell vehicles. Three specific hydrogen production paths are evaluated, i.e., electrolysis, steam reforming and gasification, sourced from different feedstock [11][12][13][14][15]. Multi-Criteria Decision Analysis MethodsThis Section shortly outlines the MCDA methods most often used in the reviewed papers. MCDA methods can be broadly divided in Multi-Attribute Decision Making (MADM) with limited solutions for a finite set of alternatives and Multi-Objective Decision Making (MODM) with indefinite solutions for an indefinite set of possible scenarios [16]. MODM methods usually comprise some form of optimization, for instance linear or nonlinear programming. These methods start with certain restrictions which determine the optimal solution [17] and find a solution by optimizing the resulting

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“…The weight of each criterion plays an important role in the MCDM process, since it reflects the importance over others and, therefore, influences the final decision-making. Consequently, it is common to use a separate MCDM method to deal with the weighting of criteria [30][31][32].…”

Section: Prosmentioning

confidence: 99%

An Extended GRA Method Integrated with Fuzzy AHP to Construct a Multidimensional Index for Ranking Overall Energy Sustainability Performances

et al. 2020

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In an age of rapid technological advancement, the increasing need for energy and its related services to satisfy economic and social development has become a critical concern of national governments worldwide. This has triggered researchers to work on metrics for tracking and tracing energy sustainability in order to provide monitoring mechanisms for policy makers. In this regard, multicriteria decision-making (MCDM) methods are becoming more popular to deal with the multidimensional and complex nature of sustainability. We have proposed an extended and revised version of the grey relational analysis (GRA) method, which is integrated with the fuzzy analytic hierarchy process (AHP), to develop a new composite index for comparing the overall energy sustainability performances of 35 OECD member countries. Our case study revealed the performances of selected countries by providing their strengths and weaknesses based on determined criteria as well as the level of change in performances with different criteria weights. The proposed GRA model can be used in different applications of sustainability due to its flexible nature, which provides benefits from goal-oriented extensions in order to adequately capture different aspects of sustainability.

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The use of grey-based methods in multi-criteria decision analysis for the evaluation of sustainable energy systems: A review

Cited by 132 publications

References 115 publications

Dongting Lake Water Level Forecast and Its Relationship with the Three Gorges Dam Based on a Long Short-Term Memory Network

Dongting Lake Water Level Forecast and Its Relationship with the Three Gorges Dam Based on a Long Short-Term Memory Network

Multi-Criteria Decision Analysis of Road Transportation Fuels and Vehicles: A Systematic Review and Classification of the Literature

An Extended GRA Method Integrated with Fuzzy AHP to Construct a Multidimensional Index for Ranking Overall Energy Sustainability Performances

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