Machine learning outputs and RAMP input files

This dataset contains predicted appliances ownership for electricity demand using a Machine Learning model trained on survey data for Energy Audits . This model predicts appliance counts and household numbers for administrative regions (LGA level in Nigeria, and adm2 levels in Ghana, Togo, Benin, Niger) using socio-economic and meteorological inputs. The model's output is then used with the RAMP stochastic tool to generate high-resolution (minute-level). scikit-learn, 1.6.1