인공지능기반 언어모델을 활용한 에너지 시뮬레이션의 객관성 향상에 관한 연구

다국어 초록 (Multilingual Abstract)

In this study, we investigate the improvement of objectivity in energy simulations using an artificial intelligence-based language model. Energy simulations encompass various aspects, such as power systems, energy demand, energy supply, and emissions, and their outcomes significantly impact policy decisions, energy technology development, and power market stability evaluations. However, current simulation methodologies tend to rely on numerous assumptions and human subjectivity, resulting in relatively low objectivity. In this research, we utilize a GPT-4-based artificial intelligence language model to design and simulate various energy scenarios, and propose methods to enhance objectivity through result analysis. Experimental results demonstrate that AI-based energy simulations exhibit higher objectivity than conventional methods, providing more accurate information for decision-making processes in the energy sector.