How should you heat your home in the green energy transition? A scenario-based multi-criteria decision-making approach

Wen, Qianyun; Lindfors, Axel; Liu, Yang

doi:10.1016/j.jclepro.2023.138398

Cited by 7 publications

(5 citation statements)

References 46 publications

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“…Analyzing Table 8, it can be seen that the results obtained only partially overlap. The same or similar position in individual rankings is occupied by: Sweden (Temporal PROSA: 1, DARIA-TOPSIS: 1), Denmark (3,3), Austria (4, 5), Latvia (5, 7), Croatia (8,11), Hungary (14,14), Slovakia (16,18), Germany (20,19), Cyprus (27,25). In turn, the largest differences in terms of positions in the rankings occur in the following countries: Estonia (17, 4), Ireland (19,6), Spain (9, 23), Italy (7,21), Luxembourg (26,10), The Netherlands (23,13), Poland (25,12), Portugal (2,24), Romania (10,22).…”

Section: Discussionmentioning

confidence: 90%

“…The same temporal extension was used by W ątróbski [30] in the PROMETHEE method, when considering the problem of consumption of alternative fuels in road transport. Wen et al [27] used the Best-Worst method and TOPSIS to select heating systems for residential buildings. They developed a semi-dynamic approach based on the representation of time by decision scenarios.…”

Section: Applications Of Dmcdm and Tmcdm Methods In Decision-making P...mentioning

confidence: 99%

“…These are the problems of selecting an investment portfolio based on renewable energy [40], assessing the energy systems of European countries [41] and assessing the energy security of OECD countries [18]. In addition, one study examines thermal energy and the choice of heating systems for residential buildings [27], as well as the assessment of the use of alternative fuels in road transport [30]. This indicates the need to develop a temporal and dynamic approach to problems related to energy, and in particular renewable energy.…”

Section: Mcdm Methodsmentioning

confidence: 99%

“…Although MCDM methods are an effective tool for many real-world problems of selecting and ranking alternatives, they usually only provide an idea of which alternative is preferred. Therefore, their results may become outdated due to changes in the performance of alternatives or in decision-makers' perceptions of value [27]. Most proposed MCDM approaches do not take into account the temporal characteristics of the criteria values, which may be interesting information to investigate to predict future rankings [28].…”

Section: Static and Dynamic Approach To Decision-makingmentioning

confidence: 99%

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Temporal Analysis of Energy Transformation in EU Countries

Ziemba,

Zair

2023

Energies

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Due to the environmental policy adopted by the European Union (EU), EU countries are obliged to reduce greenhouse gas emissions. They reduce emissions largely through the energy transformation and switching to renewable energy sources (RES). Therefore, it is important to assess the progress of the energy transformation of individual EU countries. This is related to the aim of the article, which is a temporal analysis of the energy transformation process towards the transition to RES and reducing the use of fossil fuels in energy production. To achieve this goal, a new Temporal/Dynamic Multi-Criteria Decision-Making (T/DMCDM) method called Temporal PROSA was developed, based on the PROMETHEE and PROSA family of methods. The Temporal PROSA method, unlike many other T/DMCDM methods, enables the aggregation of data from many periods into a single final assessment, as well as the direct transfer of information from the examined periods to the overall result. As a result of the research, EU countries that dominated in terms of progress in energy transformation towards RES in the years 2004–2021were identified. Based on the data and methodology used, it was indicated that these countries are primarily Sweden and Portugal, and recently also Denmark and Finland. On the other hand, countries such as Belgium, Bulgaria, Cyprus, Luxembourg, and Poland made the least progress between 2004 and 2021.

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Section: Discussionmentioning

confidence: 90%

Section: Applications Of Dmcdm and Tmcdm Methods In Decision-making P...mentioning

confidence: 99%

Section: Mcdm Methodsmentioning

confidence: 99%

Section: Static and Dynamic Approach To Decision-makingmentioning

confidence: 99%

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Temporal Analysis of Energy Transformation in EU Countries

Ziemba,

Zair

2023

Energies

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“…Understanding contradictory criteria provides two meanings of understanding, first there is a criterion that has an understanding of the smallest value is the best and the second understanding is that the largest value is the best. These two understandings provide varying assessments, so a normalization stage will be needed taking into account the importance of the multi-criteria used [15], [16].…”

Section: Introductionmentioning

confidence: 99%

MCDM-AHP and ELECTRE collaboration apps for the best vendor selection technique

Akmaludin,

Samudi,

Baidawi

et al. 2024

Bulletin EEI

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Vendor selection techniques are very important to maintain supply chain services, optimal service creates strong consistency in maintaining the continuity of supply chain business processes. The aim of this research is to provide an objective and consistent understanding of the best techniques in vendor selection which are implemented openly through the collaboration of multi-criteria decision making-analytic hierarchy process (MCDM-AHP) and ELECTRE. Empirical studies show how this approach is able to provide optimal decision-making support for the vendor selection process. Eight criteria are required which have contradictory meanings in their apps. These criteria include quality of goods (QG), payment methods (PMs), payment terms (PTs), minimum transactions (MTs), discounts (DS), delivery times (DTs), inventory (IN), and service (SV). The comparison importance value of the criteria is used as a measure of weighting the criteria through two testing approaches, namely mathematical algebra matrices and expert choice apps, through accurately assessing the optimal eigenvector from the two test approaches. Decision making support was carried out by comparison using 342 preference matrices which were developed into concordance and discordance matrices, the elimination process with threshold matrices found that the ranking results of four vendors were ranked first as worthy of being a selection priority and fifteen other vendors were ranked below.

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Feature engineering and selection for prosumer electricity consumption and production forecasting: A comprehensive framework

Wen,

Liu

2025

Applied Energy

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How should you heat your home in the green energy transition? A scenario-based multi-criteria decision-making approach

Cited by 7 publications

References 46 publications

Temporal Analysis of Energy Transformation in EU Countries

Temporal Analysis of Energy Transformation in EU Countries

MCDM-AHP and ELECTRE collaboration apps for the best vendor selection technique

Feature engineering and selection for prosumer electricity consumption and production forecasting: A comprehensive framework

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