Weather-informed probabilistic forecasting and scenario generation in power systems

H Zhang, R Zandehshahvar, M Tanneau… - Applied Energy, 2025 - Elsevier
The integration of renewable energy sources (RES) into power grids presents significant
challenges due to their intrinsic stochasticity and uncertainty, necessitating the development …

Risk-aware control and optimization for high-renewable power grids

N Barry, M Chatzos, W Chen, D Han, C Huang… - arxiv preprint arxiv …, 2022 - arxiv.org
The transition of the electrical power grid from fossil fuels to renewable sources of energy
raises fundamental challenges to the market-clearing algorithms that drive its operations …

Dependence structure learning and joint probabilistic forecasting of stochastic power grid variables

O Stover, P Nath, P Karve, S Mahadevan, H Baroud - Applied Energy, 2024 - Elsevier
Stochastic optimization is a promising approach to support a reliable and cost-efficient
transition to a renewable generation-dominated power grid. However, utilization of this …

Addressing uncertainties through improved reserve product design

Y Chen - IEEE Transactions on Power Systems, 2022 - ieeexplore.ieee.org
Traditionally contingency reserves were defined to manage generation outage uncertainties.
With the renewable penetration and more frequent extreme weather events, market …

Multi-Transmission Node DER Aggregation: Chance-Constrained Unit Commitment with Bounded Hetero-Dimensional Mixture Model for Uncertain Distribution …

W Wang, Z Shao, Y Liu, B Eldridge, A Somani… - arxiv preprint arxiv …, 2025 - arxiv.org
To facilitate the integration of distributed energy resources (DERs) into the wholesale market
while maintaining the tractability of associated market operation tools such as unit …

Risk-Informed Decision-Making in Power Systems

OT Stover - 2023 - search.proquest.com
Modern power grids are in a time of significant change. Legacy generators, such as coal and
nuclear generators, are retiring. New technologies, such as wind generators, solar …

Computational Requirements in Clean Energy and Manufacturing: Summary report of the virtual workshop held on June 28-29, 2021

J Turner, M Sieger, S Allu, M Ameen, S Chaudhuri… - 2023 - osti.gov
On June 28–29, 2021, the US Department of Energy's (DOE's) Advanced Scientific
Computing Research (ASCR) program in the Office of Science convened a workshop with …