Climate change often evokes flooding, forest fires, or melting ice caps. However, one invisible but significant impact is increased evaporation from large lakes, impacting recreation, fishing, irrigation, and hydropower. 97% of Manitoba’s electrical production comes from hydropower dams, which is threatened by increased evaporative losses from reservoirs due to rising temperatures. While evaporative losses currently account for 15-20% of annual storage, inadequate weather data hinders accurate estimates. Deep Neural Networks offer a solution to this gap, by allowing the modelling of evaporation with fewer variables while maintaining accuracy similar to direct measurements. My study indicates under severe climate change that Lower Lake Winnipeg’s monthly mean evaporation may increase between 12-80%, which has significant implications for hydropower generation.