Brief

Tracking Advances in Access to Electricity Using Satellite-Based Data and Machine Learning to Complement Surveys

Show simple item record

collection.link.261
https://openknowledge.worldbank.org/handle/10986/17135
collection.name.261
Live Wire
dc.contributor.author
Dhorne, Milien
dc.contributor.author
Nicolas, Claire
dc.contributor.author
Arderne, Christopher
dc.contributor.author
Besnard, Juliette
dc.date.accessioned
2021-04-21T13:05:06Z
dc.date.available
2021-04-21T13:05:06Z
dc.date.issued
2021-04-15
dc.date.lastModified
2021-06-14T09:54:54Z
dc.description.abstract
Access to electricity is widely considered a major determinant of socioeconomic development. But despite long-standing efforts to expand access, 789 million people remained without electricity in 2018. Accurate and reliable data to keep track of electrification efforts must be the first step toward achieving universal access. Monitoring access with the finest granularity and taking into account local socioeconomic characteristics enable a realistic depiction of electrification progress. Such data can be used to plan efficient and robust energy access policies and programs, to raise public awareness of the urgency of action, to sustain the pace of electrification, and ultimately to connect the hardest-to-reach populations. In addition to identifying where efforts should be targeted, high-resolution data are needed to show which electricity supply options are most relevant. Remote sensing techniques and geographic information systems have revolutionized data collection by providing a range of location-specific information that was not previously accessible. The use of standardized geospatial tools and methods has made it possible to offer countries technical assistance and operational support for the development of national electrification strategies, least-cost electrification plans, and country-based investment prospectuses that combine grid, mini-grid, and off-grid technologies.
en
dc.identifier
http://documents.worldbank.org/curated/en/178851618463838983/Tracking-Advances-in-Access-to-Electricity-Using-Satellite-Based-Data-and-Machine-Learning-to-Complement-Surveys
dc.identifier.uri
http://hdl.handle.net/10986/35473
dc.language
English
dc.publisher
World Bank, Washington, DC
dc.relation.ispartofseries
Live Wire;2021/113
dc.rights
CC BY 3.0 IGO
dc.rights.holder
World Bank
dc.rights.uri
http://creativecommons.org/licenses/by/3.0/igo
dc.subject
ELECTRIFICATION
dc.subject
ENERGY EFFICIENCY
dc.subject
SATELLITE IMAGERY
dc.subject
MACHINE LEARNING
dc.subject
SDG 7.1.1
dc.subject
ACCESS TO ELECTRICITY
dc.title
Tracking Advances in Access to Electricity Using Satellite-Based Data and Machine Learning to Complement Surveys
en
dc.type
Brief
en
okr.date.disclosure
2021-04-15
okr.doctype
Publications & Research
okr.doctype
Publications & Research :: Brief
okr.docurl
http://documents.worldbank.org/curated/en/178851618463838983/Tracking-Advances-in-Access-to-Electricity-Using-Satellite-Based-Data-and-Machine-Learning-to-Complement-Surveys
okr.googlescholar.linkpresent
yes
okr.guid
178851618463838983
okr.identifier.externaldocumentum
090224b0884d08a6_1_0
okr.identifier.internaldocumentum
32999106
okr.identifier.report
158169
okr.imported
true
en
okr.language.supported
en
okr.pdfurl
http://documents.worldbank.org/curated/en/178851618463838983/pdf/Tracking-Advances-in-Access-to-Electricity-Using-Satellite-Based-Data-and-Machine-Learning-to-Complement-Surveys.pdf
en
okr.topic
Energy :: Electric Power
okr.topic
Energy :: Energy Conservation & Efficiency
okr.unit
Infra Energy Global Programs (IEEES)

Show simple item record



This item appears in the following Collection(s)