| |
Author |
Title |
Year |
Publication |
Volume  |
Pages |
Links |
|
|
Li, S.; Cheng, L.; Liu, X.; Mao, J.; Wu, J.; Li, M. |
City type-oriented modeling electric power consumption in China using NPP-VIIRS nighttime stable light data |
2019 |
Energy |
189 |
116040 |
|
|
|
Lu, L.; Weng, Q.; Xie, Y.; Guo, H.; Li, Q. |
An assessment of global electric power consumption using the Defense Meteorological Satellite Program-Operational Linescan System nighttime light imagery |
2019 |
Energy |
189 |
116351 |
|
|
|
Sánchez de Miguel, A.; Zamorano, J.; Gómez Castaño, J.; Pascual, S. |
Evolution of the energy consumed by street lighting in Spain estimated with DMSP-OLS data |
2014 |
Journal of Quantitative Spectroscopy and Radiative Transfer |
139 |
109-117 |
|
|
|
Zhu, Y.; Xu, D.; Saleem, A.; Ma, R.; Cheng, J. |
Can Nighttime Light Data Be Used to Estimate Electric Power Consumption? New Evidence from Causal-Effect Inference |
2019 |
Energies |
12 |
3154 |
|
|
|
Addison, D.; Stewart, B. |
Nighttime Lights Revisited: The Use of Nighttime Lights Data as a Proxy for Economic Variables |
2015 |
World Bank Group Policy Research Working Papers |
|
|
|
