A risk-averse multi-timescale stochastic integration framework for a community multi-energy system under correlated uncertainties

Key Points

• This framework optimizes decision-making under correlated uncertainties in a multi-energy system.
• The approach integrates multiple timescales to effectively manage energy resources and risks.
• Based on stochastic methods, the framework enhances operational performance despite uncertainty.
• The findings underscore the need for adaptative strategies to improve energy resilience and efficiency.