Evaluation metrics are essential in selecting the most appropriate predictive model. Conventional metrics such as R-squared, root mean squared error (RMSE), and mean absolute percentage error (MAPE) rely on arithmetic averages, making them sensitive to outliers, undefined values, and scale...

Evaluating maintenance plans for power generation is a critical task managed by the National System Operator, as it is directly related to criteria such as operational cost, rationing, and availability of natural resources. This study identifies the most suitable maintenance schedule between...

In this paper, we propose a methodological framework for assessing the influence of climate uncertainty and technological innovation on renewable investments in small off-grid islands. At the core of the framework, an energy system model calculates the system performance in terms of Present...

We show how to bid in first-price auctions when a bidder knows her own value but not how others will bid. To do this we introduce a novel and general method for how to make choices in strategic settings without assuming common knowledge or equilibrium behavior. Accordingly, first eliminate...