Optimal capacity expansion requires complex decision-making, often influenced by technology learning, which represents the reduction in cost due to factors such as cumulative installed capacity. However, having perfect foresight over is highly unlikely. In this work, we develop a multistage stochastic programming framework model planning problems with endogenous uncertainty learning. To assess ...