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[HTML][HTML] Stochastic Scenario Generation Methods for Uncertainty in Wind and Photovoltaic Power Outputs: A Comprehensive Review
K Zheng, Z Sun, Y Song, C Zhang, C Zhang, F Chang… - Energies, 2025 - mdpi.com
This paper reviews scenario generation techniques for modeling uncertainty in wind and
photovoltaic (PV) power generation, a critical component as renewable energy integration …
photovoltaic (PV) power generation, a critical component as renewable energy integration …
Artificial intelligence techniques for stability analysis in modern power systems
J Fang, C Liu - iEnergy, 2024 - ieeexplore.ieee.org
Effective stability analysis is essential for the secure operation of modern power systems. As
smart grids evolve with increased interconnection, renewable energy integration, and …
smart grids evolve with increased interconnection, renewable energy integration, and …
A load sequence scenario generation method based on a dual-layer Markov chain Monte Carlo model
X Zhang, X Wu, J Zhou, D Liu, G Guo… - Journal of Physics …, 2024 - iopscience.iop.org
Generating a large number of representative load sequence scenarios is crucial for
evaluating the supply-demand balance, economic efficiency, and reliability of power …
evaluating the supply-demand balance, economic efficiency, and reliability of power …
A space-time simulator for hourly wind and solar energy fields
YV Amonkar, DJ Farnham, U Lall - 2024 - eartharxiv.org
Spatially distributed renewable energy generation poses unique risks to power systems
since the aggregate amount of energy produced in any hour depends on the spatial …
since the aggregate amount of energy produced in any hour depends on the spatial …