Comparison of least squares Monte Carlo methods with applications to energy real options.

European Journal of Operational Research(2017)

引用 52|浏览95
暂无评分
摘要
•We apply regress-now/later least squares Monte Carlo (LSMN/L) to energy real options.•LSMN/L compute continuation/value function approximations (C/VFAs).•These C/VFAs yield tight lower and dual (upper) bounds (LBs and DBs).•Estimating the LSMN/L C/VFAs and associated LBs incurs similar computational effort.•Estimating DBs based on VFAs instead of CFAs takes seconds rather than minutes/hours.
更多
查看译文
关键词
Energy,Real options,Least-squares Monte Carlo,Approximate dynamic programming,Information relaxation and duality
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要