A comprehensive review of research works based on evolutionary game theory for sustainable energy development

Gang, Wang; Chao, Yuechao; Yong, Cao; Jiang, Tieliu; Han, Wei; Chen, Zeshao

doi:10.1016/j.egyr.2021.11.231

Cited by 104 publications

(36 citation statements)

References 118 publications

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“…The major posi-tion played by wind energy in the current and future generations will only continue to grow. Increasing cost efficiency is essential for establishing total competitiveness [53][54][55]. The decrease in operation and maintenance costs is a crucial issue in this regard in addition to sustainable economies of scale brought on by larger wind turbine designs and manufacturing advancements [56][57][58][59][60].…”

Section: Discussionmentioning

confidence: 99%

https://www.academia.edu/93557562/Predicting_Power_and_Hydrogen_Generation_of_a_Renewable_Energy_Converter_Utilizing_Data_Driven_methods_A_Sustainable_Smart_Grid_Case_Study

Rituraj¹

2022

Preprint

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This study proposes a data-driven methodology for modeling power and hydrogen generation of a sustainable energy converter. The wave and hydrogen production at different wave heights and wind speeds are predicted. Furthermore, this research emphasizes and encourages the possibility of extracting hydrogen from ocean waves. By using the extracted data from FLOW-3D software simulation and the experimental data from the special test in the ocean, the comparison analysis of two data-driven learning methods is conducted. The results show that the amount of hydrogen production is propor-tional to the amount of generated electrical power. The reliability of the proposed renewable energy converter is further discussed as a sustainable smart grid application.

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Section: Discussionmentioning

confidence: 99%

https://www.academia.edu/93557562/Predicting_Power_and_Hydrogen_Generation_of_a_Renewable_Energy_Converter_Utilizing_Data_Driven_methods_A_Sustainable_Smart_Grid_Case_Study

Rituraj¹

2022

Preprint

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“…Evolutionary stability strategy (ESS) and replication dynamics equation (RD) are two core concepts of evolutionary game theory. ESS is used to describe a strategy, that is, when the majority of individuals in the population choose a strategy, the group that chooses the mutation strategy cannot invade the group containing the majority of individuals, because it contains fewer individuals, so ESS has good stability in the process of the evolutionary game [ 45 ]. RD was proposed by Taylor and Jahnke [ 46 ], it refers to the ability of individuals to frequently adjust themselves through imitation, learning, and selection of the current situation [ 47 ].…”

Section: Methodsmentioning

confidence: 99%

Evolutionary game analysis between employees and employers about working overtime from the perspective of information asymmetry

Dong

Yan

2022

BMC Psychol

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Background Overtime is an international phenomenon, especially in some Chinese Internet technology companies, the 996 work regime is a common corporate atmosphere. This paper holds that overtime work is the result of a long-term dynamic game between employees and employers. In such a dynamic evolution process, employers and employees both cooperate and conflict, they will choose a strategy conducive to their own development through long-term learning and improvement. Methods Based on the evolutionary game theory and principal-agent theory, this paper constructs a $$2\times 2$$ 2 × 2 evolutionary game matrix. The strategies of employees can be divided into voluntary overtime and involuntary overtime, while the strategies of employers can be divided into providing overtime pay and not providing overtime pay. The stability of the system is related to four parameters: resource consumption, information asymmetry coefficient, trust coefficient, and moral hazard coefficient. Results Through an in-depth study of the model and data simulation, the system has five equilibrium points, an ESS point, and a saddle point in any case. Accordingly, we put forward two theorems and three propositions, which are verified not only theoretically but also by data simulation. Besides, the strategies of the employees and the employers will evolve from the initial state to (Involuntarily, Not pay) or (Voluntarily, Pay) under different situations. This is closely related to the initial parameters of the evolutionary game model and the payment matrix. Conclusions By summarizing the influence of each parameter on the evolutionary path, we believe that fairness and information equivalence between employees and employers can effectively promote both parties to reach the Pareto optimal state. In other words, employees and employers need to communicate and share information promptly to ensure the unity of information acquired by each other and achieve a win–win situation. This paper contributes to providing theoretical guidance and practical enlightenment for organizations to manage employees' overtime behavior scientifically and improve their work psychology reasonably.

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“…For instance, in the economics sphere, the EGT method is usually used to forecast future development trends [31,32]; in the medical field, EGT is used to analyze the voluntary vaccination method [33]; in the energy field, EGT is used to explore the behavioral strategies of private sectors from the perspectives of green energy generators and sellers [34]; in the field of pollution control, EGT is used to analyze the impact of the operational mechanisms of local governments' different expenditure preferences on the production behavior of industrial polluting enterprises, to specify the behavioral characteristics and optimal strategies of local environmental management [35]. In addition, other disciplines have employed the EGT method to address forecasting or management problems [36,37].…”

Section: Literature Reviewmentioning

confidence: 99%

Management Policy of Farmers’ Cultivated Land Abandonment Behavior Based on Evolutionary Game and Simulation Analysis

Chen

Xie

Zhai

2022

Land

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Agricultural land abandonment is a complex, multidimensional, and nonlinear global phenomenon driven by multiple factors and has contrasting impacts on agrobiodiversity, the environment, and society. Appropriate management strategies on abandoned cultivated land are helpful in maintaining food and ecological security. However, there are few studies on the management of cultivated land abandonment from the perspective of stakeholders. Based on the stakeholder perspective and focusing on the two main modes of farmland abandonment management, namely, “transfer-oriented management” and “condition-improved management”, this study constructs two evolutionary game models to analyze the interest conflicts, decision-making behaviors and interest game foci of different subjects in the two management modes. Simulation analysis is conducted to verify the equilibrium results of the evolutionary game to find the key problems in abandonment management and put forward corresponding management policies. This study reveals the internal mechanism of abandonment management, thus providing a theoretical basis for the classified management of abandoned cultivated land.

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A comprehensive review of research works based on evolutionary game theory for sustainable energy development

Cited by 104 publications

References 118 publications

https://www.academia.edu/93557562/Predicting_Power_and_Hydrogen_Generation_of_a_Renewable_Energy_Converter_Utilizing_Data_Driven_methods_A_Sustainable_Smart_Grid_Case_Study

https://www.academia.edu/93557562/Predicting_Power_and_Hydrogen_Generation_of_a_Renewable_Energy_Converter_Utilizing_Data_Driven_methods_A_Sustainable_Smart_Grid_Case_Study

Evolutionary game analysis between employees and employers about working overtime from the perspective of information asymmetry

Management Policy of Farmers’ Cultivated Land Abandonment Behavior Based on Evolutionary Game and Simulation Analysis

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