2021
DOI: 10.1016/j.renene.2020.09.016
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Toward blockchain-based renewable energy microgrid design considering default risk and demand uncertainty

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Cited by 60 publications
(15 citation statements)
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“…To the best of our knowledge, it is the first empirical analysis of the impact of renewable energy use on the banks’ default risk based on three measures of risk i.e., distance-to-default, distance to insolvency and distance to capital. The capital-intensive nature of renewable energy projects renders banks one of the most influential players in determining the growth and success of renewable energy usage and has intensified the researchers’ heed to deal with the risks and risk management of renewable energy projects (Gatzert and Kosub 2016 ; Tsao and Thanh 2021 ; Das and Basu 2020 ; Zhou and Yang 2020 ; Taghizadeh-Hesary and Yoshino 2020 ). We contribute to this debate from the lens of banks’ default risk based on an international sample of 20 countries.…”
Section: Introductionmentioning
confidence: 99%
“…To the best of our knowledge, it is the first empirical analysis of the impact of renewable energy use on the banks’ default risk based on three measures of risk i.e., distance-to-default, distance to insolvency and distance to capital. The capital-intensive nature of renewable energy projects renders banks one of the most influential players in determining the growth and success of renewable energy usage and has intensified the researchers’ heed to deal with the risks and risk management of renewable energy projects (Gatzert and Kosub 2016 ; Tsao and Thanh 2021 ; Das and Basu 2020 ; Zhou and Yang 2020 ; Taghizadeh-Hesary and Yoshino 2020 ). We contribute to this debate from the lens of banks’ default risk based on an international sample of 20 countries.…”
Section: Introductionmentioning
confidence: 99%
“…Scott et al [38] carried out a study on the role of long-term uncertainty in electricity market modelling for renewable energy support policy evaluation. There are other studies that consider uncertainty in different aspects of renewable-related projects, such as load demand uncertainty [39,40]; renewable energy resources uncertainty [41,42]; uncertainties of the inflow of the hydropower plant and the PV power output [43]; wind energy uncertainty [44]; uncertainty in the costs of renewable energy [45]; uncertainties of wind speed, solar radiation intensity, and power load [46]; and uncertainties of renewable energy production and load demand [47].…”
Section: Literature Reviewmentioning
confidence: 99%
“…The researchers in [63] used blockchain to reduce the risk when banks lend money to power companies. The proposed model identifies the number and location of renewable generation units, time-of-use energy pricing, and manufacturers.…”
Section: The Integration Of Blockchain With Artificial Intelligence (Ai)mentioning
confidence: 99%