电力供应可持续性的电力驱动因素识别和优先排序:以发展中国家和不发达国家为例

Hanif Auwal Ibrahim, M. Ayomoh
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引用次数: 2

摘要

在大多数发展中国家和不发达国家,对电力的需求正在上升。除其他原因外,这在很大程度上也是基于当前大流行导致的最近向交易和一般系统性操作的虚拟世界的迁移。电力需求的快速增长造成了巨大的供应缺口。蓬勃发展的电力需求归因于各种驱动因素。本文关注的是发展中经济体中驱动电力供应和可持续性的因素的识别和优先排序。采用混合结构相互作用矩阵(HSIM)实现基于权重的优先排序模型,并对相互作用因素进行分层结构布局。这将指导并使政策制定者和研究人员能够通过考虑加权优先驱动因素来优化资源配置,从而在解决电力需求增长和供应不足的问题上做出更明智的决定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification and Prioritisation of Electricity Driving Factors for Power Supply Sustainability: A Case of Developing and Underdeveloped Nations
The demand for electricity is on the rise in most developing and underdeveloped countries. Amongst other reasons, this is also largely premised on the recent migration to a more dominating virtual world of transactions and general systemic operations as a result of the current pandemic. The rapid increase in the demand for electricity has left a huge supply deficit. The booming electricity demand is attributed to various driving factors. This paper has focused on identification and prioritisation of factors that drive power availability and sustainability in developing economies. The Hybrid Structural Interaction Matrix (HSIM) was deployed to implement the weight based prioritisation model with hierarchical structural layout of the interacting factors. This would guide and enable policy makers and researchers to make a more informed decision on addressing issues of growing electricity demand and inadequate supply via the consideration of weighted prioritised driving factors for optimal allocation of resources.
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