This paper addresses the possibility of capacity withholding by energy producers, who seek to increase the market price and their own profits. The energy market is simulated as an iterative game, where each state game corresponds to an hourly energy auction with uniform pricing mechanism. The producers are modeled as agents that interact with their environment through reinforcement learning (RL...

This paper presents the results of experiment conducted to investigate the correlation, if any, between the learning style and cognitive traits which include working memory capacity of technical learners. Further, the experiment aimed to investigate the correlation between the learning style and performance of technical learners in web-based quizzes based on their styles over different subjects...

Simulation-based optimization models are widely applied to find optimal operating conditions of processes. Often, computational challenges arise from model complexity, making the generation reliable design solutions difficult. We propose an algorithm for replacing non-linear process simulation integrated in multi-level a and energy system superstructure with surrogate models, applying active le...