Monitoring and identifying wind turbine generator bearing faults using deep belief network and EWMA control charts

H Li, J Deng, S Yuan, P Feng… - Frontiers in Energy …, 2021 - frontiersin.org
Wind turbines are widely installed as the new source of cleaner energy production. Dynamic
and random stress imposed on the generator bearing of a wind turbine may lead to …

Short-Term Wind Power Prediction via Spatial Temporal Analysis and Deep Residual Networks

H Li - Frontiers in energy research, 2022 - frontiersin.org
Wind power is a rapidly growing source of clean energy. Accurate short-term forecasting of
wind power is essential for reliable energy generation. In this study, we propose a novel …

SCADA data based wind power interval prediction using LUBE-based deep residual networks

H Li - Frontiers in Energy Research, 2022 - frontiersin.org
Wind is a pollution-free renewable energy source. It has attracted increasing attention owing
to the decarbonization of electricity generation. However, owing to the dynamic nature of …

Mapping relation of leakage currents of polluted insulators and discharge arc area

C Fang, Y Tao, J Wang, C Ding, L Huang… - Frontiers in Energy …, 2021 - frontiersin.org
A fundamental parameter of polluted insulator online monitoring is the leakage current,
which has already been shown to be well-related to the pollution discharge of insulators. In …

Intelligent frequency control strategy based on reinforcement learning of multi-objective collaborative reward function

L Zhang, Y Xie, J Ye, T Xue, J Cheng, Z Li… - Frontiers in Energy …, 2021 - frontiersin.org
Large scale wind power integration into the power grid will pose a serious threat to the
frequency control of power system. If only Control Performance Standard (CPS) index is …

Numerical weather prediction correction strategy for short-term wind power forecasting based on bidirectional gated recurrent unit and XGBoost

Y Li, F Tang, X Gao, T Zhang, J Qi, J Xie… - Frontiers in Energy …, 2022 - frontiersin.org
Accurate short-term wind power forecasting (WPF) plays a crucial role in grid scheduling
and wind power accommodation. Numerical weather prediction (NWP) wind speed is the …

Ultra-short-term wind power prediction based on bidirectional gated recurrent unit and transfer learning

W Chen, W Qi, Y Li, J Zhang, F Zhu, D Xie… - Frontiers in Energy …, 2021 - frontiersin.org
Wind power forecasting (WPF) is imperative to the control and dispatch of the power grid.
Firstly, an ultra-short-term prediction method based on multilayer bidirectional gated …

[HTML][HTML] On data-driven chance constraint learning for mixed-integer optimization problems

A Alcántara, C Ruiz - Applied Mathematical Modelling, 2023 - Elsevier
When dealing with optimization problems, decision-makers often face high levels of
uncertainty associated with partial information, unknown parameters, or complex …

Insulator contamination perception based on feature fusion of infrared image and meteorological parameters

H Wang, B Wang, M Li, P Luo, H Ma… - Frontiers in Energy …, 2021 - frontiersin.org
Polluted insulators seriously threaten the safe and stable operation of power grids, which
attaches great significance to insulator contamination perception. Among the present …

Robust Optimal Braking Policy for Avoiding Collision With Front Bicycle

X Shen, Y Zhang, X Zhang… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Bicycles are frequently involved in traffic collisions with vehicles, particularly when sudden
changes in direction occur. This paper presents a robust risk-predictive braking policy to …