Forecasting Spatio-Temporal Renewable Scenarios: a Deep Generative Approach

Understand

The operation and planning of large-scale power systems are becoming more challenging with the increasing penetration of stochastic renewable generation.

• In order to minimize the decision risks in power systems with large amount of renewable resources, there is a growing need to model the short-term generation uncertainty.
• By producing a group of possible future realizations for certain set of renewable generation plants, scenario approach has become one popular way for renewables uncertainty modeling.
• However, due to the complex spatial and temporal correlations underlying in renewable generations, traditional model-based approaches for forecasting future scenarios often require extensive knowledge, while fitted models are often hard to scale.