Recent advances in data-driven prediction for wind power

Y Liu, Y Wang, Q Wang, K Zhang, W Qiang… - Frontiers in Energy …, 2023 - frontiersin.org
Wind power is one of the most representative renewable energy and has attracted wide
attention in recent years. With the increasing installed capacity of global wind power, its …

A novel well log data imputation methods with CGAN and swarm intelligence optimization

F Qu, H Liao, J Liu, T Wu, F Shi, Y Xu - Energy, 2024 - Elsevier
Well log data plays a vital role in decision-making, resource assessment, production
optimization, and environmental management of oil and gas development. However, when …

[HTML][HTML] A novel short-term wind power scenario generation method combining multiple algorithms for data-missing wind farm Considering spatial-temporal …

Y Tan, Q Zhang, L Shi, N Yu, Z Qian - … Journal of Electrical Power & Energy …, 2024 - Elsevier
For newly-built or expanded wind farms with missing, insufficient or invalid wind power data,
the existing methods often have limitations in describing their wind power characteristics …

A Scenario Generation Method for Typical Operations of Power Systems with PV Integration Considering Weather Factors

X Wang, X Liu, F Zhong, Z Li, K Xuan, Z Zhao - Sustainability, 2023 - mdpi.com
Under the background of large-scale PV (photovoltaic) integration, generating typical
operation scenarios of power systems is of great significance for studying system planning …

基于月份划分与指定日类型的风电出力序列场景生成方法

辛阔, 马骞, 许琴, 王子强, 刘一鸣 - 电力系统自动化, 2023 - epjournal.csee.org.cn
风电场景生成是不确定性条件下进行电网调度及安全校核的重要基础. 文中提出一种风电出力
序列场景生成方法. 首先, 基于月均出力将年度风电出力序列划分为分布特性差异大的数个季度; …

Long Period Continuous Operation Data Sample Generation Method for Power Grid

Y Huang, N Yang, Y Han, X Qi - 2023 IEEE 11th Joint …, 2023 - ieeexplore.ieee.org
In recent years, artificial intelligence technology has provided new ideas for solving the
problems related to power system operation and control, and the new power system has …

Demand-side data augmentation method based on generative adversarial networks

X Shang, S Lei, W Zhang, Z Sun - 2023 IEEE 6th International …, 2023 - ieeexplore.ieee.org
This article proposes a method for data augmentation of demand side data based on
generative adversarial networks. Firstly, the model structure and algorithm training iteration …

Day-Ahead Scenario Generation Method for Renewable Energy Based on Historical Data Analysis

H Wang, Y Liu, C Yin, X Bai, B Sun, M Li… - … Conference on Big Data …, 2022 - Springer
With the massive application of new energy, the contradiction of power grid regulation has
become increasingly prominent. How to effectively predict the range of the power grid is a …