Adoption of smart grid in Ghana using pattern recognition neural networks

Dublin Core

Title

Adoption of smart grid in Ghana using pattern recognition neural networks

Creator

Ruhiya Abubakar, Emmanuel K Effah, Samuel Akwasi Frimpong, Amevi Acakpovi, Govind R Kadambi, KM Sharath Kumar

Description

Deployment of Smart Grid is neither a goal nor a destination, but rather an enabler to the provision of reliable, secured and clean electricity for the end- user or consumer. Overall Smart Grid vision is very well explained with the future of electricity systems, which largely depends on digitization and automation of the overall electricity value-chain, by enhancing electric power information to bi-directional flow and the provision of services that can support the operations of the generation, distribution and end-user usage of power can lead to improvement of electric power system efficiency. This work aims at analyzing factors and forecast effects on the adoption of Smart Grid in Ghana using Pattern Recognition Neural Net. The Primary data was collected using structured questionnaire and the questions were designed to test the perception of consumers on the deployment of Smart Grid. Also, the target group of …

Publisher

IEEE

Date

2019

Source

https://scholar.google.com/citations?view_op=view_citation&hl=en&user=AhSMvB8AAAAJ&cstart=20&pagesize=80&citation_for_view=AhSMvB8AAAAJ:kNdYIx-mwKoC

Language

English