Reservoir properties inversion using attention-based parallel hybrid network integrating feature selection and transfer learning

J Wang, J Cao - Energy, 2024 - Elsevier
The inversion of subsurface reservoir properties is of profound significance to the oil and gas
energy development and utilization. The strong heterogeneity and complex pore structure of …

An adaptive distribution-matched recurrent network for wind power prediction using time-series distribution period division

A Meng, H Zhang, Z Dai, Z Xian, L Xiao, J Rong, C Li… - Energy, 2024 - Elsevier
Precise wind power prediction (WPP) can address the issue caused by large-scale wind
power grid integration to the power system operation. Most WPP research focus on the …

Hybrid model for wind power estimation based on BIGRU network and error discrimination‐correction

Y Li, Y Jin, Y Dan, W Zha - IET Renewable Power Generation, 2024 - Wiley Online Library
Accurate estimation of wind power is essential for predicting and maintaining the power
balance in the power system. This paper proposes a novel approach to enhance the …

[HTML][HTML] Short-Term Probabilistic Wind Speed Predictions Integrating Multivariate Linear Regression and Generative Adversarial Network Methods

Y Dong, C Li, H Shi, P Zhou - Atmosphere, 2024 - mdpi.com
The precise forecasting of wind speeds is critical to lessen the harmful impacts of wind
fluctuations on power networks and aid in merging wind energy into the grid system …

An Adaptive Wind Speed Synergy Power Prediction Framework Considering Offshore Wind Power Boundary Effect

L Xiao, A Meng, P Zou, H Liu, Z Huang, Z Zhang… - Available at SSRN … - papers.ssrn.com
With the accelerated construction of offshore wind farms around the world, the need for
accurate predictions of offshore wind power is urgent. However, most of the models for …

Multi-Energy Load Day-Ahead Forecasting for Integrated Energy Systems Based on Mtl-Bigru-Attention Mechanism

Y Zhu, J Zhang, L Pan, J Shen - Available at SSRN 4678221 - papers.ssrn.com
Accurate forecasting of load demand for energy subsystems is valuable for the promotion
and implementation of integrated energy systems (IES). In this paper, a multi-energy load …