arXiv cs.LG· Yasaman Cheraghi (Department of Energy and Petroleum Engineering, University of Stavanger, Norway), Reidar B. Bratvold (Department of Energy and Petroleum Engineering, University of Stavanger, Norway), Aojie Hong (Independent Researcher, Stavanger, Norway), Ressi B. Muhammad (Department of Energy and Petroleum Engineering, University of Stavanger, Norway), Sergey Alyaev (NORCE Norwegian Research Centre, Bergen, Norway)·· 3 小时前AI 评分22
能源转型中的战略投资决策：一种强化学习方法
Strategic Investment Decision Making for Value Creation in Energy Transition: A Reinforcement Learning Approach
AI 导读
挪威斯塔万格大学等机构的研究者提出一个多准则序贯决策（SDM）框架，用强化学习为能源企业在油气、可再生能源和 CO2 减排三大板块间寻找最优投资策略。该框架基于可模拟至 2050 年的定制仿真环境，以最大化利润、最小化 CO2 社会成本和提升可再生能源竞争力为目标。基准测试显示，RL 策略在适应性和长期价值创造上持续优于人工设定的基线策略。
来源：arXiv cs.LG · arxiv.org