Application of Regression Models on Hydropower Plants Using Numerical and Computational Simulations

With climate change, there is a higher possibility of drought. Drought is a critical threat to energy generation, specifically to the typical reusable energy source; hydropower in the Northeastern region in the USA, a region that relies heavily on hydropower. In order to draft mitigation strategies for the drought problem in the regions, we present 75% and more of monthly net electricity generation variations in the time frame of 2001 to 2010. Through various regression model that examine 32 out of 39 hydropower plants, we project future electricity generation levels in PNW using future discharge and climate data.