Carbon market risk estimation using quantum conditional generative adversarial network and amplitude estimation

X Zhou, H Zhao, Y Cao, X Fei… - Energy Conversion …, 2024 - Wiley Online Library
Accurately and efficiently estimating the carbon market risk is paramount for ensuring
financial stability, promoting environmental sustainability, and facilitating informed decision …

[HTML][HTML] Surrogate Modeling for Solving OPF: A Review

S Mohammadi, VH Bui, W Su, B Wang - Sustainability, 2024 - mdpi.com
The optimal power flow (OPF) problem, characterized by its inherent complexity and strict
constraints, has traditionally been approached using analytical techniques. OPF enhances …

Advancements and Future Directions in the Application of Machine Learning to AC Optimal Power Flow: A Critical Review

B Jiang, Q Wang, S Wu, Y Wang, G Lu - Energies, 2024 - mdpi.com
Optimal power flow (OPF) is a crucial tool in the operation and planning of modern power
systems. However, as power system optimization shifts towards larger-scale frameworks …

A Pork Price Prediction Model Based on a Combined Sparrow Search Algorithm and Classification and Regression Trees Model

J Qin, D Yang, W Zhang - Applied Sciences, 2023 - mdpi.com
The frequent fluctuation of pork prices has seriously affected the sustainable development of
the pork industry. The accurate prediction of pork prices can not only help pork practitioners …

[HTML][HTML] Initial estimate of AC optimal power flow with graph neural networks

A Deihim, D Apostolopoulou, E Alonso - Electric Power Systems Research, 2024 - Elsevier
Optimal power flow (OPF) is a crucial task in power system management and control;
accurate and time-efficient solutions for OPF are necessary to ensure cost-efficient and …

[HTML][HTML] Operational electricity cost reduction using real-time simulators

M Akbarpour, SM Kouhsari, SHH Sadeghi - International Journal of …, 2024 - Elsevier
Ensuring the safe and cost-effective electricity transmission to consumers, along with the
efficient and sustainable operation of power systems, has long been a primary objective for …

[HTML][HTML] Explainable Warm-Start Point Learning for AC Optimal Power Flow Using a Novel Hybrid Stacked Ensemble Method

K Xu, X Zhang, L Qiu - Sustainability, 2025 - mdpi.com
With the development of renewable energy, renewable power generation has become an
increasingly important component of the power system. However, it also introduces …

Unsupervised Deep Lagrange Dual with Equation Embedding for AC Optimal Power Flow

M Kim, H Kim - IEEE Transactions on Power Systems, 2024 - ieeexplore.ieee.org
Conventional solvers are often computationally expensive for constrained optimization,
particularly in large-scale and time-critical problems including AC optimal power flow (OPF) …

Combined MIMO Deep Learning Method for ACOPF with High Wind Power Integration

A Unlu, M Peña - Energies, 2024 - mdpi.com
The higher penetration of renewable energy sources in current and future power grids
requires effective optimization models to solve economic dispatch (ED) and optimal power …

Real-time power scheduling through reinforcement learning from demonstrations

S Liu, J Liu, N Yang, Y Huang, Q Jiang… - Electric Power Systems …, 2024 - Elsevier
Real-time decision-making in power system scheduling is imperative in response to the
increasing integration of renewable energy. This paper proposes a novel framework …