Incentive-based demand response strategies for natural gas considering carbon emissions and load volatility
H Zeng, B Shao, H Dai, N Tian, W Zhao - Applied Energy, 2023 - Elsevier
With the continuous development of the global economy, the demand for natural gas is
increasing year by year. At the same time, the widespread adoption of emission reduction …
increasing year by year. At the same time, the widespread adoption of emission reduction …
V2G for Frequency Regulation Service: a Stackelberg Game Approach Considering Endogenous Uncertainties
With the proliferation of electric vehicles (EVs), Vehicle-to-Grid (V2G) technology is
promising in providing frequency regulation services for power grids. The electric vehicle …
promising in providing frequency regulation services for power grids. The electric vehicle …
A Stackelberg game for incentive-based demand response in energy markets
M Fochesato, C Cenedese… - 2022 IEEE 61st …, 2022 - ieeexplore.ieee.org
In modern buildings renewable energy generators and storage devices are spreading, and
consequently the role of the users in the power grid is shifting from passive to active. We …
consequently the role of the users in the power grid is shifting from passive to active. We …
计及用户不确定性的多时段耦合需求响应激励优化策略
张全明， 崔晓昱， 张笑弟， 孙毅 - **电机工程学报, 2022 - epjournal.csee.org.cn
需求响应项目的实施过程中, 用户对激励的实际响应程度存在不确定性, 导致调整电量无法达到
预期效果. 为减少电力资源的浪费, 优化资源配置, 采用马尔可夫决策过程反应用户用电状态与 …
预期效果. 为减少电力资源的浪费, 优化资源配置, 采用马尔可夫决策过程反应用户用电状态与 …
A Distributed Hypergradient Algorithm for Intervention in Games
P Grontas - 2022 - research-collection.ethz.ch
Hierarchical optimization problems, such as bilevel programs and Stackelberg games, are
attracting increasing interest in both engineering and machine learning communities. Yet …
attracting increasing interest in both engineering and machine learning communities. Yet …