Recent developments in machine learning for energy systems reliability management
L Duchesne, E Karangelos… - Proceedings of the …, 2020 - ieeexplore.ieee.org
This article reviews recent works applying machine learning (ML) techniques in the context
of energy systems' reliability assessment and control. We showcase both the progress …
of energy systems' reliability assessment and control. We showcase both the progress …
基于新一代人工智能技术的电力系统稳定评估与决策综述
杨博， 陈义军， 姚伟， 石重托， 束洪春 - 电力系统自动化, 2022 - epjournal.csee.org.cn
以深度学习, 强化学习和迁移学习等高级机器学习为代表的新一代人工智能技术在处理海量数据
, 挖掘复杂非线性映射等方面具有更强的优势, 使其在电力系统稳定评估与决策中的应用逐渐 …
, 挖掘复杂非线性映射等方面具有更强的优势, 使其在电力系统稳定评估与决策中的应用逐渐 …
Online cement clinker quality monitoring: A soft sensor model based on multivariate time series analysis and CNN
Y Zhao, B Ding, Y Zhang, L Yang, X Hao - ISA transactions, 2021 - Elsevier
The content of free calcium oxide (f-CaO) in cement clinker is an important index for cement
quality. Aiming at the characteristics of strong coupling, time-varying delay and highly non …
quality. Aiming at the characteristics of strong coupling, time-varying delay and highly non …
Data-driven security and stability rule in high renewable penetrated power system operation
Power systems around the world are experiencing an energy revolution that substitutes
fossil fuels with renewable energy. Such a transition poses two significant challenges: highly …
fossil fuels with renewable energy. Such a transition poses two significant challenges: highly …
[HTML][HTML] Operational risk assessment of transmission Systems: A review
The deterministic techniques in use for transmission-grid planning and operation have
resulted in a high reliability, but they have certain limitations that could be removed by …
resulted in a high reliability, but they have certain limitations that could be removed by …
Recurrent network based power flow solution for voltage stability assessment and improvement with distributed energy sources
The increasing penetration of alternative energy sources into the integrated energy systems
often influences the voltage stability (VS) of the entire system. However, developing a …
often influences the voltage stability (VS) of the entire system. However, developing a …
Density-based clustering and probabilistic classification for integrated transmission-distribution network security state prediction
The proliferation of renewable energy sources (RESs) into the distribution network
necessitates the need for the capability to predict the security state of the grid. This paper …
necessitates the need for the capability to predict the security state of the grid. This paper …
Real-time long-term voltage stability assessment based on eGBDT for large-scale power system with high renewables penetration
H Gao, G Cai, D Yang, L Wang - Electric Power Systems Research, 2023 - Elsevier
Real-time voltage stability assessment is a critical issue for ensuring the safety of large-scale
renewable energy connected power system. In this paper, a data-driven approach based on …
renewable energy connected power system. In this paper, a data-driven approach based on …
New energy power system operation security evaluation based on the SWOT analysis
S Maihemuti, W Wang, J Wu, H Wang - Scientific reports, 2022 - nature.com
Grid-connection of new energy is highly important in promoting the use of clean and
renewable energy. However, it will bring huge risks to the power grid operation security …
renewable energy. However, it will bring huge risks to the power grid operation security …
[HTML][HTML] Data-driven approach to fuzzy inference system tuning for static security assessment of multi-area power systems with renewable energy
Energy market deregulation and increased integration of intermittent renewable energy
resources (RE) have pushed modern power systems to operate close to their security limits …
resources (RE) have pushed modern power systems to operate close to their security limits …