An optimization model for FML-based decision support system on energy management

Global warming causes increasing natural disasters and gradually threatens human life and property safety. Under such an uncertain environment, efficiency and effectiveness in the energy management are an important and a difficult question. This paper aims to provide an approach for energy management that optimizes the relationship between different variables such as time, areas, countries, users, seasons, evaluation methods, and various different energy productions such as nuclear, water, biomass, wind, solar, and thermal. To achieve this goal, this paper combines the technologies of ontology and fuzzy markup language (FML) with theories about uncertainty to evaluate the applicability of the energy production based on technological innovation, economic development, social safety, environmental protection, regional characteristics, and time series. The simulation results show that the proposed approach is feasible to provide an alternative for energy management through the viewpoints of people, governments, and enterprises. It is hoped to provide the optimized energy management decision model for different decision makers and users as a reference in the future.