Carbon market risk estimation using quantum conditional generative adversarial network and amplitude estimation
Accurately and efficiently estimating the carbon market risk is paramount for ensuring
financial stability, promoting environmental sustainability, and facilitating informed decision …
financial stability, promoting environmental sustainability, and facilitating informed decision …
[HTML][HTML] Surrogate Modeling for Solving OPF: A Review
The optimal power flow (OPF) problem, characterized by its inherent complexity and strict
constraints, has traditionally been approached using analytical techniques. OPF enhances …
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 …
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 …
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
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 …
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 …
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
With the development of renewable energy, renewable power generation has become an
increasingly important component of the power system. However, it also introduces …
increasingly important component of the power system. However, it also introduces …
Unsupervised Deep Lagrange Dual with Equation Embedding for AC Optimal Power Flow
Conventional solvers are often computationally expensive for constrained optimization,
particularly in large-scale and time-critical problems including AC optimal power flow (OPF) …
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
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 …
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 …
increasing integration of renewable energy. This paper proposes a novel framework …