TY - GEN
T1 - Identification and Prioritisation of Electricity Driving Factors for Power Supply Sustainability
T2 - 2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2021
AU - Ibrahim, Hanif Auwal
AU - Ayomoh, Michael Kweneojo
N1 - Publisher Copyright:
© IEEE 2022.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Electricity Driving Factors
KW - Electricity Supply Sustainability
KW - HSIM
KW - Underdeveloped Economies
UR - https://www.scopus.com/pages/publications/85127835178
U2 - 10.1109/CSDE53843.2021.9718450
DO - 10.1109/CSDE53843.2021.9718450
M3 - Conference Publication
AN - SCOPUS:85127835178
T3 - 2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2021
BT - 2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 8 December 2021 through 10 December 2021
ER -