Pricing Strategy for Energy Supplement Services of Hybrid Electric Vehicles Considering Bounded-Rationality and Energy Substitution Effect

Lai, Shuying; Qiu, Jing; Tao, Yuechuan; Zhao, Junhua

doi:10.1109/tsg.2022.3222270

Cited by 12 publications

(1 citation statement)

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“…The DR-based power system planning is critical to the future energy transition [201]. In other words, the low-carbon-oriented power system should further consider the individual response to the planning scheme to avoid over-investment [202].…”

Section: ) Deep-reinforcement Learning (Drl)-based Methods To Model T...mentioning

confidence: 99%

Challenges and Pathways of Low-Carbon Oriented Energy Transition and Power System Planning Strategy: A Review

Qiu,

Zhao,

Wen

et al. 2024

IEEE Trans. Netw. Sci. Eng.

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This paper provides an overview of the challenges and pathways involved in achieving a low-carbon-oriented energy transition roadmap and power system planning strategy. The transition towards low-carbon energy sources is crucial in mitigating the global climate change crisis. However, this transition presents several technical, economic, and political challenges. The paper emphasizes the importance of an integrated approach to power system planning that considers the entire energy system (including both physical and information systems and market mechanisms) and not just individual technologies. To achieve this goal, the paper discusses various pathways toward low-carbon energy transition, including the integration of renewable energy sources into current energy systems, energy efficiency measures, and market-based and regulatory strategies encompassing the implementation of regulations, standards, and policies. Furthermore, the paper underscores the need for a comprehensive and coordinated approach to energy planning, taking into account the socio-economic and political dimensions of the transition process. In addition, the paper reviews the methodologies used in modeling low-carbon-oriented power system planning, including both model-based methods and advanced machine learning-assisted solutions. Overall, the paper concludes that achieving a low-carbon-oriented energy transition roadmap and power system planning strategy requires a multi-dimensional approach that considers technical, economic, political, and social factors.

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Section: ) Deep-reinforcement Learning (Drl)-based Methods To Model T...mentioning

confidence: 99%

Challenges and Pathways of Low-Carbon Oriented Energy Transition and Power System Planning Strategy: A Review

Qiu,

Zhao,

Wen

et al. 2024

IEEE Trans. Netw. Sci. Eng.

View full text Add to dashboard Cite

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Optimal Pricing Model of Shared Energy Storage Considering Stackelberg Game Based on Prospect Theory

Xin,

Zhiyi,

Bin

2024

Lecture Notes in Electrical Engineering

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GWO-based charging price determination for charging station with competitor awareness

Zeng,

Yuan,

Pan

et al. 2024

Electr Eng

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Pricing Strategy for Energy Supplement Services of Hybrid Electric Vehicles Considering Bounded-Rationality and Energy Substitution Effect

Cited by 12 publications

References 40 publications

Challenges and Pathways of Low-Carbon Oriented Energy Transition and Power System Planning Strategy: A Review

Challenges and Pathways of Low-Carbon Oriented Energy Transition and Power System Planning Strategy: A Review

Optimal Pricing Model of Shared Energy Storage Considering Stackelberg Game Based on Prospect Theory

GWO-based charging price determination for charging station with competitor awareness

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