[HTML][HTML] Stochastic optimization for capacity configuration of data center microgrid thermal energy management equipment considering flexible resources

Y Cui, Y Cheng, H Zhu, Y Zhao, W Zhong - International Journal of …, 2024 - Elsevier
The rapid development of Internet and cloud computing technologies has led to the
expansion of the scale of data centers, resulting in a continuous increase in the demand for …

Prescribed robustness in optimal power flow

R Mieth, HV Poor - Electric Power Systems Research, 2024 - Elsevier
For a timely decarbonization of our economy, power systems need to accommodate
increasing numbers of clean but stochastic resources. This requires new operational …

Integrated attentive Bi-LSTM conditional GAN for power system oscillation localization

L Saravana, QH Ngo, J Zhang, T Vu, TL Vu - Electric Power Systems …, 2025 - Elsevier
This paper presents an advanced deep learning framework that combines the Transformer
model with either Long Short-Term Memory (LSTM) or Bidirectional Long Short-Term …

Research on future trends of electricity consumption based on conditional generative adversarial network considering dual‐carbon target

J Li, Z Qin, Y Luo, J Chen, S Wei - IET Energy Systems …, 2024 - Wiley Online Library
The emergence of novel factors, such as the energy Internet and electricity supply‐side
reform within the context of the dual‐carbon target (carbon peaking and carbon neutrality) …

Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach

Z Liang, Q Li, A Liu, Y Dvorkin - arxiv preprint arxiv:2412.10554, 2024 - arxiv.org
This paper presents an end-to-end framework for calibrating wind power forecast models to
minimize operational costs in two-stage power markets, where the first stage involves a …

Incentivizing Investment and Reliability: A Study on Electricity Capacity Markets

C Guo, C Kroer, Y Dvorkin, D Bienstock - arxiv preprint arxiv:2311.06426, 2023 - arxiv.org
The capacity market, a marketplace to exchange available generation capacity for electricity
production, provides a major revenue stream for generators and is adopted in several US …

An Extreme Scenario Reduction Algorithm for Multi-time Scale Net-Load

X Han, Y Gao, Z Chen, Q Chen… - 2023 IEEE 7th …, 2023 - ieeexplore.ieee.org
Due to the uncertainty of renewable energy power, the power system needs to apply various
types of flexible resources to balance supply and demand on multiple time scales. For multi …

Bridging probabilistic forecasts and power system optimization considering uncertainty: a joint chance-constrained perspective

Y Ding - 2022 - ora.ox.ac.uk
Power systems globally are significantly integrating renewable energy to achieve net zero
emission targets. Nonetheless, these renewable energy sources are weather-dependent …