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Article

Interannual Variation in Night-Time Light Radiance Predicts Changes in National Electricity Consumption Conditional on Income-Level and Region

1
Fondazione Eni Enrico Mattei, Corso Magenta 63, 20123 Milano, Italy
2
Catholic University of Milan, Largo Gemelli 1, 20123 Milan, Italy
*
Author to whom correspondence should be addressed.
Received: 27 December 2018 / Revised: 29 January 2019 / Accepted: 30 January 2019 / Published: 31 January 2019
(This article belongs to the Special Issue Data Analytics in Energy Systems)
Using remotely-sensed Suomi National Polar-orbiting Partnership (NPP)-VIIRS (Visible Infrared Imagery Radiometer Suite) night-time light (NTL) imagery between 2012 and 2016 and electricity consumption data from the IEA World Energy Balance database, we assemble a five-year panel dataset to evaluate if and to what extent NTL data are able to capture interannual changes in electricity consumption within different countries worldwide. We analyze the strength of the relationship both across World Bank income categories and between regional clusters, and we evaluate the heterogeneity of the link for different sectors of consumption. Our results show that interannual variation in nighttime light radiance is an effective proxy for predicting within-country changes in power consumption across all sectors, but only in lower-middle income countries. The result is robust to different econometric specifications. We discuss the key reasons behind this finding. The regions of Sub-Saharan Africa, Middle-East and North Africa, Latin America and the Caribbeans, and East Asia and the Pacific render a significant outcome, while changes in Europe, North America and South Asia are not successfully predicted by NTL. The designed methodological steps to process the raw data and the findings of the analysis improve the design and application of predictive models for electricity consumption based on NTL at different spatio-temporal scales. View Full-Text
Keywords: electricity consumption; VIIRS; remote sensing; economic development; comparative assessment electricity consumption; VIIRS; remote sensing; economic development; comparative assessment
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MDPI and ACS Style

Falchetta, G.; Noussan, M. Interannual Variation in Night-Time Light Radiance Predicts Changes in National Electricity Consumption Conditional on Income-Level and Region. Energies 2019, 12, 456. https://0-doi-org.brum.beds.ac.uk/10.3390/en12030456

AMA Style

Falchetta G, Noussan M. Interannual Variation in Night-Time Light Radiance Predicts Changes in National Electricity Consumption Conditional on Income-Level and Region. Energies. 2019; 12(3):456. https://0-doi-org.brum.beds.ac.uk/10.3390/en12030456

Chicago/Turabian Style

Falchetta, Giacomo, and Michel Noussan. 2019. "Interannual Variation in Night-Time Light Radiance Predicts Changes in National Electricity Consumption Conditional on Income-Level and Region" Energies 12, no. 3: 456. https://0-doi-org.brum.beds.ac.uk/10.3390/en12030456

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