[HTML][HTML] Uncovering wind power forecasting uncertainty sources and their propagation through the whole modelling chain
Wind power forecasting has supported operational decision-making for power system and
electricity markets for 30 years. Efforts of improving the accuracy and/or certainty of …
electricity markets for 30 years. Efforts of improving the accuracy and/or certainty of …
Data stream classification with novel class detection: a review, comparison and challenges
Developing effective and efficient data stream classifiers is challenging for the machine
learning community because of the dynamic nature of data streams. As a result, many data …
learning community because of the dynamic nature of data streams. As a result, many data …
An abnormal wind turbine data cleaning algorithm based on color space conversion and image feature detection
H Long, S Xu, W Gu - Applied Energy, 2022 - Elsevier
Wind power curve (WPC) is established through data collected from the Supervisory Control
and Data Acquisition (SCADA) system of each wind turbine, which can be used to analyze …
and Data Acquisition (SCADA) system of each wind turbine, which can be used to analyze …
Clustering of typical wind power scenarios based on K-means clustering algorithm and improved artificial bee colony algorithm
G Yao, Y Wu, X Huang, Q Ma, J Du - IEEE Access, 2022 - ieeexplore.ieee.org
An improved artificial bee colony algorithm (IABC) was proposed to solve the problems of
the k-means clustering (KMC) algorithm, such as poor global search ability, sensitive …
the k-means clustering (KMC) algorithm, such as poor global search ability, sensitive …
A novelty detector and extreme verification latency model for nonstationary environments
Safe and reliable operation of systems relies on the use of online condition monitoring and
diagnostic systems that aim to take immediate actions upon the occurrence of a fault. Model …
diagnostic systems that aim to take immediate actions upon the occurrence of a fault. Model …
Unsupervised Bayesian change-point detection approach for reliable prognostics and health management of complex mechanical systems
R Wu, C Liu, D Jiang - Reliability Engineering & System Safety, 2024 - Elsevier
In the prognostics and health management of mechanical systems, achieving high reliability
requires high-quality data for analysis and model training to avoid intensive misalarms and …
requires high-quality data for analysis and model training to avoid intensive misalarms and …
Maize nitrogen grading estimation method based on UAV images and an improved shufflenet network
W Sun, B Fu, Z Zhang - Agronomy, 2023 - mdpi.com
Maize is a vital crop in China for both food and industry. The nitrogen content plays a crucial
role in its growth and yield. Previous researchers have conducted numerous studies on the …
role in its growth and yield. Previous researchers have conducted numerous studies on the …
Short-term wind energy forecasting with independent daytime/nighttime machine learning models
Many renewable energy resources, including wind energy, are uncertain and often
unavailable when needed, with high variability and dependency on atmospheric and …
unavailable when needed, with high variability and dependency on atmospheric and …
Implementation of novel hybrid approaches for power curve modeling of wind turbines
M Yesilbudak - Energy Conversion and Management, 2018 - Elsevier
In wind energy conversion systems, a power curve links the wind speed to the power
produced by a wind turbine and an accurate power curve model helps wind power providers …
produced by a wind turbine and an accurate power curve model helps wind power providers …
A fully parallel stochastic multiarea power system operation considering large-scale wind power integration
Multiarea power system operation/coordination is used to increase the reliability of the
interconnected power grids and maintain the consistency of the price across the integrated …
interconnected power grids and maintain the consistency of the price across the integrated …