{"title":"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","authors":"Hanif Auwal Ibrahim, M. Ayomoh","doi":"10.1109/CSDE53843.2021.9718450","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":166950,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Identification and Prioritisation of Electricity Driving Factors for Power Supply Sustainability: A Case of Developing and Underdeveloped Nations\",\"authors\":\"Hanif Auwal Ibrahim, M. Ayomoh\",\"doi\":\"10.1109/CSDE53843.2021.9718450\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":166950,\"journal\":{\"name\":\"2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSDE53843.2021.9718450\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSDE53843.2021.9718450","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.