Demand Side Management Performance Evaluation for Commercial Enterprises

Dong, Jun; Huo, Huijuan; Guo, Sen

doi:10.3390/su8101041

Cited by 10 publications

(5 citation statements)

References 44 publications

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“…". Similarly, Dong et al (2016) utilized FAHP to determine the weights of 15 sub-criteria including economic, social, environmental, and technical criteria and used fuzzy TOPSIS to rate DSM performance in China. A paradigm for evaluating the effectiveness of demand response systems was also developed by Dong et al (2017) based on the fuzzy VIKOR method and an L2-metric distance approach.…”

Section: Literature Reviewmentioning

confidence: 99%

The determinants of reliable smart grid from experts’ perspective

et al. 2023

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A smart grid integrates communication networks with the conventional electrical grid. Due to their potential, smart grids are anticipated to achieve widespread deployment. A key component of the success and adoption of smart grids is reliability. Without knowing users’ impressions of the reliability of the smart grid, users will not easily accept and participate in it or its services. However, very few studies address smart grid reliability from the perspective of users. Thus, there is a urgent need to identify key factors that affect smart grid reliability from the user’s viewpoint. The goal of this paper is to examine user perceptions of smart grid reliability and assess their success factors in an effort to close the gap in the literature. This paper propose a model to investigate and determine the most crucial factors that affect the smart grid's reliability based on the Multiple-criteria decision-making (MCDM) method. Firstly, a comprehensive literature analysis was conducted to determine the criteria and sub-criteria used to construct the model; then, the model is constructed using fifteen sub-criteria covering big data, network systems, and grid efficiency criteria; finally, the Fuzzy Analytic Hierarchy Approach (FAHP) and fuzzy triangular numbers are used to evaluate and prioritize the criteria. Twenty smart grid experts were consulted to collect data. The results indicate the significance of the ‘Big Data’ criterion, closely followed by ‘Grid Efficiency’ criterion. Additionally, it is discovered that the sub-criteria of ‘Privacy’ and ‘Interoperability’ had a significant impact on the reliability of the smart grid. The sensitivity analysis shows the variation of factors ranking and the stability and robustness of the model and the results. The research presented in this study has practical applications for academics, engineers, decision-makers, and stakeholders.

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Section: Literature Reviewmentioning

confidence: 99%

The determinants of reliable smart grid from experts’ perspective

et al. 2023

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“…The “Price elasticity”, the “Smart meter use rate” and the “Smart home application degree” are found to be key sub-criteria. Similarly, Dong et al. (2016) propose a model containing economic, social, environmental and technical criteria and 15 sub-criteria.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The "Price elasticity", the "Smart meter use rate" and the "Smart home application degree" are found to be key sub-criteria. Similarly, Dong et al (2016) propose a model containing economic, social, environmental and technical criteria and 15 subcriteria. The model uses FAHP to calculate the weights of the criteria and the fuzzy TOPSIS to Smart grid reliability evaluation rank DSM performance in China.…”

Section: Application Of Fahp In Smart Gridmentioning

confidence: 99%

Smart grid reliability evaluation and assessment

Mashal¹

2022

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PurposeSmart grid is an integration between traditional electricity grid and communication systems and networks. Providing reliable services and functions is a critical challenge for the success and diffusion of smart grids that needs to be addressed. The purpose of this study is to determine the critical criteria that affect smart grid reliability from the perspective of users and investigate the role big data plays in smart grid reliability.Design/methodology/approachThis study presents a model to investigate and identify criteria that influence smart grid reliability from the perspective of users. The model consists of 12 sub-criteria covering big data management, communication system and system characteristics aspects. Multi-criteria decision-making approach is applied to analyze data and prioritize the criteria using the fuzzy analytic hierarchy process based on the triangular fuzzy numbers. Data was collected from 16 experts in the fields of smart grid and Internet of things.FindingsThe results show that the “Big Data Management” criterion has a significant impact on smart grid reliability followed by the “System Characteristics” criterion. The “Data Analytics” and the “Data Visualization” were ranked as the most influential sub-criteria on smart grid reliability. Moreover, sensitivity analysis has been applied to investigate the stability and robustness of results. The findings of this paper provide useful implications for academicians, engineers, policymakers and many other smart grid stakeholders.Originality/valueThe users are not expected to actively participate in smart grid and its services without understanding their perceptions on smart grid reliability. Very few works have studied smart grid reliability from the perspective of users. This study attempts to fill this considerable gap in literature by proposing a fuzzy model to prioritize smart grid reliability criteria.

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“…Six evaluation criteria, such as compliance flexibility, economic viability, effectiveness, legal feasibility, political stability, and market revolution capability, have been considered to assess eight various strategies using AHP in Indian context by Vashishtha and Ramachandran 156 . An FAHP‐assisted TOPSIS technique was proposed for DSM in commercial sector for China by Dong et al 155 The experts from diversified backgrounds such as research, government, electricity utilities, and commercial enterprises were involved to collect criteria weights.…”

Section: Applications Of Mcdm Techniquesmentioning

confidence: 99%

A comprehensive review on applications of multicriteria decision‐making methods in power and energy systems

Bohra

Anvari‐Moghaddam

2021

Intl J of Energy Research

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Summary Energy has been considered as one of the essential needs of mankind along with air, water, and food and witnessed evolution of civilization since evidence of human life. Managing energy resources is one of the challenging problems being capital intensive. Addressing this involves critical thinking and decision making with all possible aspects, technically known as set of primary and secondary criteria. There exist a number of literature sources addressing applications of multicriteria decision‐making (MCDM) in different energy‐related areas. Some are focusing on energy policy making, few are explaining site selection of solar PV, wind farm, and hydro power plants, and a few are describing applications in load management. Moreover, a few literature in this field elaborates various MCDM methods and their applications. In this article, an extensive and exhaustive study is carried out incorporating almost all possible applications of MCDM in renewable energy area. Various energy‐intensive applications are mapped with MCDM methods along with governing sensitive parameters. Hence, this study facilitates practicing engineers, decision‐makers, academician, and researchers to identify areas and MCDM techniques researched over the past decade in energy sector for planning, managing, selecting renewable resources, etc.

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Demand Side Management Performance Evaluation for Commercial Enterprises

Cited by 10 publications

References 44 publications

The determinants of reliable smart grid from experts’ perspective

The determinants of reliable smart grid from experts’ perspective

Smart grid reliability evaluation and assessment

A comprehensive review on applications of multicriteria decision‐making methods in power and energy systems

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