Comparing Socially-Equitable Renewable Energy Budget Allocation MDP Policies in Mature and Emerging Economies
Riya Kinnarkar Mansur M. Arief Yan Pratama Akhra Dino Arla
作者信息
Abstract
Equitable renewable-energy planning is a sequential decision problem, but the decision variables available to a public planner differ sharply between mature and emerging economies. In the former the government largely builds generation, while in the latter it steers private investment through incentives and quotas. We formulate socially-equitable renewable-energy budget allocation as a Markov Decision Process (MDP) and, using a single problem-agnostic solver interface, compare the same policies across the two settings: eight U.S. cities (a mature economy) and West Java, Indonesia (an emerging economy). The results show that across both settings, a receding-horizon value-iteration policy dominates. In the U.S., it reaches 66% renewable penetration while cutting the underserved low-income population by 96% versus a random baseline. In West Java it closes the low-access gap while crowding in the most private capital. More interestingly, a naive market-chasing heuristic, which is mildly sub-optimal in the U.S., could yield catastrophic outcomes in Indonesia, by underserving every low-access region, because chasing attractive markets and serving the underserved goals diverge once the planner acts through private developers.引用本文复制引用
Riya Kinnarkar,Mansur M. Arief,Yan Pratama Akhra,Dino Arla.Comparing Socially-Equitable Renewable Energy Budget Allocation MDP Policies in Mature and Emerging Economies[EB/OL].(2026-07-11)[2026-07-22].https://arxiv.org/abs/2607.10201.学科分类
经济计划、经济管理/能源动力工业经济/能源概论、动力工程概论
