Abstract
The aim is to create a prototype open-source long-term load forecasting tool suitable for quickly assembling country-level load forecasts for power sector planning models accounting for major drivers like population, Gross Domestic Product (GDP), Vehicle Miles Traveled (VMT), technology adoption, and a changing climate.
| Original language | American English |
|---|---|
| Number of pages | 11 |
| DOIs | |
| State | Published - 2026 |
NLR Publication Number
- NLR/TP-6A40-100951
Keywords
- country-level
- CRADA
- data compilation
- data visualization
- global
- hourly timeseries data
- load forecasting
- Python
- software tool
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