Leveraging Evolutionary Game Theory for Cleaner Production: Strategic Insights for Sustainable Energy Markets, Electric Vehicles, and Carbon Trading DOI
Lefeng Cheng,

Pan Peng,

Pengrong Huang

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145682 - 145682

Published: May 1, 2025

Language: Английский

Evolutionary game-theoretical approaches for long-term strategic bidding among diverse stakeholders in large-scale and local power markets: Basic concept, modelling review, and future vision DOI
Lefeng Cheng, Pengrong Huang, Tao Zou

et al.

International Journal of Electrical Power & Energy Systems, Journal Year: 2025, Volume and Issue: 166, P. 110589 - 110589

Published: March 9, 2025

Language: Английский

Citations

3
Integrating Evolutionary Game-Theoretical Methods and Deep Reinforcement Learning for Adaptive Strategy Optimization in User-Side Electricity Markets: A Comprehensive Review DOI Creative Commons
Lefeng Cheng, Xin Wei, Manling Li

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(20), P. 3241 - 3241

Published: Oct. 16, 2024

With the rapid development of smart grids, strategic behavior evolution in user-side electricity market transactions has become increasingly complex. To explore dynamic mechanisms this area, paper systematically reviews application evolutionary game theory markets, focusing on its unique advantages modeling multi-agent interactions and strategy optimization. While excels explaining formation long-term stable strategies, it faces limitations when dealing with real-time changes high-dimensional state spaces. Thus, further investigates integration deep reinforcement learning, particularly Q-learning network (DQN), theory, aiming to enhance adaptability applications. The introduction DQN enables participants perform adaptive optimization rapidly changing environments, thereby more effectively responding supply–demand fluctuations markets. Through simulations based a model, study reveals characteristics under different conditions, highlighting interaction patterns among complex environments. In summary, comprehensive review not only demonstrates broad applicability markets but also extends potential decision making through modern algorithms, providing new theoretical foundations practical insights for future policy formulation.

Language: Английский

Citations

4
Deceptive greenwashing by retail electricity providers under renewable portfolio standards: The impact of market transparency DOI
Qian Liu, Debin Fang

Energy Policy, Journal Year: 2025, Volume and Issue: 202, P. 114591 - 114591

Published: March 19, 2025

Language: Английский

Citations

0
Clean Heating Technology Diffusion with Government Departments’ and Commercial Banks’ Participation: An Evolutionary Game Analysis DOI Open Access
Ruguo Fan, Jianfeng Lu, Chaoping Zhu

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3413 - 3413

Published: April 11, 2025

As a key driver of the green and low-carbon transformation energy sector, clean heating technology plays crucial role in advancing sustainable development. However, research development (R&D) is hindered by conflicting interests among supply-side stakeholders, including enterprises, commercial banks, government departments. These conflicts create challenges for promoting diffusion technology. To address this issue, paper develops tripartite evolutionary game model involving these with aim exploring strategies to facilitate from supply side. Through mathematical modeling numerical simulations, we examine how variables such as cost, subsidies, penalties affect strategic decisions participants. The results showusing that (1) cost R&D significantly influences banks’ willingness collaborate enterprises; (2) increasing credit non-compliance enhancing returns can motivate enterprises engage R&D; (3) economic strengthening informal regulations improve cooperation between banks (4) moderate subsidies positively influence adopted enterprises. Based on findings, propose policy recommendations promote This study offers both theoretical support practical guidance diffusion, which strategically important

Language: Английский

Citations

0
AI-strategic game-theoretic analysis of haze management: A study on local government decision-making in China DOI Creative Commons
Jafar Hussain, Benjamin Lev, Zhenyu Qiu

et al.

Sustainable Futures, Journal Year: 2025, Volume and Issue: unknown, P. 100725 - 100725

Published: May 1, 2025

Language: Английский

Citations

0
Optimizing renewable energy integration pathways: Inter-regional coordination and storage in India's power sector DOI

Nikhil Thejesh Venkataramana,

Tejal Kanitkar, Venkatasailanathan Ramadesigan

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: 394, P. 126134 - 126134

Published: May 24, 2025

Language: Английский

Citations

0
Collaborative optimization for multipath coal-fired power project transition and renewable energy power project portfolio selection considering capacity payment and CCER DOI

Xiaoyan Lv,

Xingmei Li,

Dongqing Jia

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 381, P. 125147 - 125147

Published: Dec. 19, 2024

Language: Английский

Citations

3
Leveraging Evolutionary Game Theory for Cleaner Production: Strategic Insights for Sustainable Energy Markets, Electric Vehicles, and Carbon Trading DOI
Lefeng Cheng,

Pan Peng,

Pengrong Huang

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145682 - 145682

Published: May 1, 2025

Language: Английский

Citations

0