Table 4 Summary of power generation datasets characteristics.
From: CarbonMonitor-Power near-real-time monitoring of global power generation on hourly to daily scales
Dataset | CarbonMonitor-Power | IEA | BP | IRENA | Ember |
---|---|---|---|---|---|
Spatial coverage | 37 countries | 47 countries | Global | Global | 85 geographies |
Temporal coverage | 2016–2022 | 2000–2022 | 1985–2021 | 2012–2021 | 2018–2022 |
Temporal resolution | Daily and hourly | Monthly | Annual | Annual | Monthly |
Latency | 1 day (except for China which has 3 weeks latency) | 2~3 months | 8 months | 7 months | 1 month |
Method | Generation data acquired from national electricity grids, aggregated/ disaggregated to hourly/daily resolution | Monthly reporting by country | Primary official sources and third-party data2 | Data acquired through a combination of methods: IRENA questionnaire, official national statistics, industry association reports, consultant reports and news articles | National grid/national statistics data when available, combined with other data sources including IEA, IRENA |