This “reflections from practice” piece explores some of the implications emerging, artificially intelligent tools for futures and foresight prac-ademic community. The authors provide background on these tools, explore, with special emphasis scenarios, a specific tool named “Chat Generative Pre-trained Transformer” (hereafter, ChatGPT). examine utility scenarios generated by artificial intellige...

Abstract In this paper, we present and compare several methods for generating scenarios stochastic-programming models by direct selection from historical data. The range standard sampling k -means, through iterative sampling-based methods, to a new moment-based optimization approach. We the on simple portfolio-optimization model show how use them in situation when are selecting whole sequences ...

Iranian offshore oil and gas platforms are mostly located in the Persian Gulf. Technical and environmental challenges resulted from an off-design running condition of processes on a platform are important issues. The weakness of strategies to stop or decrease the amount of greenhouse gas emission production rate in the Persian Gulf; which is intensively increasing, is another matter of concern....

OF THE DISSERTATION Two-Stage Portfolio Optimization with Higher-Order Conditional Measures of Risk by Sıtkı Gülten Dissertation Director: Dr. Andrzej Ruszczyński In this study, an application of novel risk modeling and optimization techniques to daily portfolio management will be described. In the first part, I develop and compare specialized methods for scenario generation and scenario tree c...

Using distributed generations (DGs) with optimal scheduling and optimal distribution feeder reconfiguration (DFR) are two aspects that can improve efficiency as well as technical and economic features of microgrids (MGs). This work presents a stochastic copula scenario-based framework to jointly carry out optimal scheduling of DGs and DFR. This framework takes into account non-dispatchable and ...

In this paper, the annual and economic performance of an integrated solar combined cycle (ISCC) with indirect energy storage tanks is investigated. The study includes four scenarios, in which the combined cycle performance was studied exclusively in the first scenario. In the second scenario, the integrated solar combined cycle (ISCC) was examined, and the use of supplementary firing instead of...

Multi-stage decision optimization under uncertainty depends on a careful numerical approximation of the underlying stochastic process, which describes the future uncertain values on which the decision will depend on. The quality of the scenario model severely affects the quality of the solution of the optimization model. Various approaches towards an optimal generation of discrete-state approxi...