One of the important factors that support human life today is energy, which will ultimately affect the development of social life, economy, and environment. To meet the future energy needs, many countries perform energy system modeling. However, this process is complex and is fraught with difficulties and errors, such as incorrectness, inconsistency, incompleteness, and redundancy. This research aims to reduce those difficulties raising this research question: "How can Agent-Oriented Analysis (AOA) alleviate several challenges of energy planning process." This research project will use the Design Science Research (DSR) method and use seven Agent-Based Modellings (ABMs) including agent model, goal model, interaction model, scenario model, organization model, role model, and environment model. The research will provide an agent-based knowledge analysis framework. Practically, it will enable energy planners in many countries to perform more effective and affordable planning.
Anggoro, Yohanes; Sandu, Suwin; and Beydoun, Ghassan, "Agent-Based Knowledge Framework of Energy Planning System" (2018). PACIS 2018 Proceedings. 92.