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

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

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 el...

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Bibliographic Details
Main Authors: Dhorne, Milien, Nicolas, Claire, Arderne, Christopher, Besnard, Juliette
Format: Brief
Language:English
Published: World Bank, Washington, DC 2021
Subjects:
ELECTRIFICATION
ENERGY EFFICIENCY
SATELLITE IMAGERY
MACHINE LEARNING
SDG 7.1.1
ACCESS TO ELECTRICITY
Online Access:http://documents.worldbank.org/curated/en/178851618463838983/Tracking-Advances-in-Access-to-Electricity-Using-Satellite-Based-Data-and-Machine-Learning-to-Complement-Surveys
http://hdl.handle.net/10986/35473

Internet

http://documents.worldbank.org/curated/en/178851618463838983/Tracking-Advances-in-Access-to-Electricity-Using-Satellite-Based-Data-and-Machine-Learning-to-Complement-Surveys
http://hdl.handle.net/10986/35473

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