Data to accompany paper entitled, "Avoiding ecosystem and social impacts of hydropower, wind, and solar in Southern Africa’s low-carbon electricity system" Includes source data as CSVs and GIS data of
This dataset contains time-series data for analyzing and predicting wind and solar power generation. The data comes from wind farms and photovoltaic power plants in a certain location, covering detail
Set of xcel files presenting the data employed in the Optimal Hourly Generation Expansion of: "Towards 100% renewable islands in 2040 via generation expansion planning: The case of São Vicente, Cape V
