Open-Source Data (in progress)#
This tables provides a list of open-source data sources that can be used in the Electricity Planning Model (EPM). The data is categorized by type and includes links to the sources.
Note: This table is a work in progress. If you have suggestions for additional data sources, please contact the EPM team.
| Data | Resolution | Source | Description | Comment | Website |
|---|---|---|---|---|---|
| Electricity demand | Yearly | — | Historical data | — | OWID, GitHub |
| Electricity demand | Hourly | ENTSO-E | Monthly and hourly load values | — | Excel, Transparency Platform |
| Electricity demand | Hourly | Toktarova et al., 2019 | Long-term global load projections | Synthetic profile | — |
| GDP | — | — | GDP dataset | — | DataDryad |
| Generation | Europe | PowerPlantMatching | Downloadable CSV, used with PyPSA | — | GitHub |
| Generation | — | Global Energy Monitor | Global Integrated Power Tracker: unit-level data worldwide | — | GEM |
| Generation | — | Global Power Plant Database | Plant details including capacity, fuel, ownership | Not maintained anymore | GitHub |
| Heating demand | Hourly | atlite | Python library for deriving power systems data from weather | — | atlite docs |
| Hydro Power | — | EIA | Total energy production of existing plants | Calibration of runoff time series from reanalysis data | EIA |
| Hydro Power | Hourly | atlite | Power systems data derived from weather | — | atlite docs |
| Hydro Power | Monthly | GRDC | Global river discharge and runoff data | Estimate streamflow and hydropower generation | GRDC |
| Hydro Power | — | IRENA - Sterl et al., 2022 | Hydropower profiles across Africa | Atlas for energy modelling | Paper, Data |
| Electricity demand | Hourly | synde | Modelled demand under different SSPs using GEGIS | — | GitHub |
| Solar PV | Hourly | Renewables.ninja | — | Not validated vs observed output | — |
| Solar PV | — | Global Solar Atlas | — | — | Atlas |
| Solar PV | — | Autopilot for energy models | — | — | Paper |
| Solar PV | — | pv-lib | Python library for modeling PV systems | — | GitHub |
| Solar PV | Hourly | atlite | — | — | atlite docs |
| Wind Power | Hourly | Renewables.ninja | — | Not validated vs observed output | — |
| Wind Power | — | Autopilot for energy models | — | — | Paper |
| Wind Power | — | atlite | — | — | atlite docs |
| Wind Power | — | Global Wind Atlas | — | — | Atlas |
| Solar PV + Wind | — | Sterl et al., 2022 | All-Africa dataset of supply regions for PV and wind | Open-access for energy models | Paper |
| Solar PV + Wind | — | Sterl et al., 2020 | Smart renewable electricity portfolios in West Africa | — | Paper |
| All | — | OSeMOSYS | Data used in Brinkerink et al., 2021 | — | Paper |
| All | — | PyPSA-Earth | Global electricity model workflow | — | Docs |
| All | Yearly | — | Global power data for 85 geographies | Includes emissions and demand | Ember |
| All | — | ENERGYDATA.INFO | Open data platform for the energy sector | — | Data portal |
| Hydro Power | — | FAO | Geo-referenced database on dams | — | FAO |
| Hydro Power | — | Global Dam Watch | Global Reservoir and Dam Database | — | GRAND |
| Hydro Power | — | Future Hydropower Reservoirs and Dams | Dataset from Global Dam Watch | — | FHReD |