Efficient and reliable scenario generation is of paramount importance in the modeling of
uncertainties and fluctuations of wind and solar based renewable energy production for …

Day-ahead scenario generationof renewable power plays an important role in short-term
power system operations due to considerable output uncertainty included. In this paper, a …

Scenario generation has attracted wide attention in recent years owing to the high
penetration of uncertainty sources in modern power systems and the introduction of …

Quantifying short-term uncertainty in wind power plays a crucial role in power system
decision-making. In recent years, the scenario generation community has conducted …

Scenarios data of renewable energy resources plays an essential role in the study of
mitigating the risk in the power system due to their intermittent nature. Existing researches …

With the high penetration of renewable generation systems in the power grid, the accurate
simulation of the uncertainty in renewable energy generation is vital to the safe operation of …

Microgrids play an essential role in the integration of multiple distributed energy resources in
buildings. They can meet critical loads in buildings while reducing peak loads and …

Multimodal data fusion analysis is essential to model the uncertainty of environment
awareness in digital industry. However, due to communication failure and cyberattack, the …

The intermittency of renewable energy and the volatility of multi-energy loads result in
multiple joint source-load uncertainties and source-load spatio-temporal mismatch for the …

To accurately evaluate the reliability of the renewable energy distribution network, a
combined data-driven and model-driven method of distribution network reliability evaluation …