Table 1 Information on datasets for high spatio-temporal electricity estimation.
From: Monthly electricity consumption data at 1 km × 1 km grid for 280 cities in China from 2012 to 2019
Dataset | Temporal resolution | Spatial resolution | Description |
|---|---|---|---|
Annual city electricity | Annual | City | Electricity consumption at multiple spatio-temporal scales, including urban and rural areas (data from local statistical offices). |
Annual county electricity | Annual | County | |
Monthly city electricity | Monthly | City | |
Nighttime lights | Monthly | 500 m | Reflects human activity on the surface, most notably human lighting at night (https://eogdata.mines.edu/products/vnl/). |
Temperature | Monthly | 1 km | Average ambient temperature (Peng et al.53). |
CO2 | Monthly | 1 km | Open-source data inventory for anthropogenic CO2 (https://odiac.org/). |
Population | Annual | 100 m | Population distribution (http://www.worldpop.org/). |
GDP | Annual | 1 km | Economic development of the region (Chen et al.54). |
Building height | 2010, 2015, 2020 | 500 m | The distribution of the building heights (https://ghsl.jrc.ec.europa.eu/). |
Building surface | 2010, 2015, 2020 | 500 m | The distribution of built-up surfaces (https://ghsl.jrc.ec.europa.eu/). |
