Whose Power Gets Cut? Using High-Frequency Satellite Images to Measure Power Supply Irregularity:
In many parts of the developing world, access to electricity is uneven and inconsistent, characterized by frequent and long hours of power outages. Many countries now engage in systematic load shedding because of persistent power shortages. When and where electricity is provided can have important i...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Washington, D.C
The World Bank
2017
|
| Schriftenreihe: | World Bank E-Library Archive
|
| Online-Zugang: | Volltext |
| Zusammenfassung: | In many parts of the developing world, access to electricity is uneven and inconsistent, characterized by frequent and long hours of power outages. Many countries now engage in systematic load shedding because of persistent power shortages. When and where electricity is provided can have important impacts on welfare and growth. But quantifying those impacts is difficult because utility-level data on power outages are rarely available and not always reliable. This paper introduces a new method of tracking power outages from outer space. This measure identifies outage-prone areas by detecting excess fluctuations in light outputs. To develop these measures, the study processed the complete historical archive of sub-orbital Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS) nighttime imagery captured over South Asia on every night since 1993. The analysis computes annual estimates of the Power Supply Irregularity index for all 600,000 villages in India from 1993 to 2013. The Power Supply Irregularity index measures are consistent with ground-based measures of power supply reliability from the Indian Human Development Survey, and with feeder-level outage data from one of the largest utilities in India. The study's methods open new opportunities to study the determinants of power outages as well as their impacts on welfare |
| Beschreibung: | 1 Online-Ressource (30 p) |
| DOI: | 10.1596/1813-9450-8131 |
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| spellingShingle | Min, Brian Whose Power Gets Cut? Using High-Frequency Satellite Images to Measure Power Supply Irregularity |
| title | Whose Power Gets Cut? Using High-Frequency Satellite Images to Measure Power Supply Irregularity |
| title_auth | Whose Power Gets Cut? Using High-Frequency Satellite Images to Measure Power Supply Irregularity |
| title_exact_search | Whose Power Gets Cut? Using High-Frequency Satellite Images to Measure Power Supply Irregularity |
| title_exact_search_txtP | Whose Power Gets Cut? Using High-Frequency Satellite Images to Measure Power Supply Irregularity |
| title_full | Whose Power Gets Cut? Using High-Frequency Satellite Images to Measure Power Supply Irregularity Brian Min |
| title_fullStr | Whose Power Gets Cut? Using High-Frequency Satellite Images to Measure Power Supply Irregularity Brian Min |
| title_full_unstemmed | Whose Power Gets Cut? Using High-Frequency Satellite Images to Measure Power Supply Irregularity Brian Min |
| title_short | Whose Power Gets Cut? Using High-Frequency Satellite Images to Measure Power Supply Irregularity |
| title_sort | whose power gets cut using high frequency satellite images to measure power supply irregularity |
| url | https://doi.org/10.1596/1813-9450-8131 |
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