Improving wind turbine pitch control by effective wind neuro-estimators

JE Sierra-García, M Santos - IEEE Access, 2021 - ieeexplore.ieee.org
Data about wind are usually available from different databases, for different locations. In
general, this information is the average of the wind speed over time. The wind reports are …

Unlocking the potential: A review of artificial intelligence applications in wind energy

S Dörterler, S Arslan, D Özdemir - Expert Systems, 2024 - Wiley Online Library
This paper presents a comprehensive review of the most recent papers and research trends
in the fields of wind energy and artificial intelligence. Our study aims to guide future research …

Video-tachometer methodology for wind turbine rotor speed measurement

F Natili, F Castellani, D Astolfi, M Becchetti - Sensors, 2020 - mdpi.com
The measurement of the rotational speed of rotating machinery is typically performed based
on mechanical adherence; for example, in encoders. Nevertheless, it can be of interest in …

Optimum outlier detection in internet of things industries using autoencoder

A Hajikarimi, M Bahaghighat - Frontiers in Nature-Inspired Industrial …, 2022 - Springer
In recent years, due to the increase of researches based on data management, outlier
detection has attracted enormous interest. There is always a possibility of having outliers …

Interrogating the installation gap and potential of solar photovoltaic systems using GIS and deep learning

S Kalyan, Q Sun - Energies, 2022 - mdpi.com
Non-renewable-resource consumption and global greenhouse-gas (GHG) emissions are
critical issues that pose a significant threat to sustainable development. Solar energy is a …

An image recognition measurement approach and uncertainty for overspeed governors employed in elevator safety

Y Zhang, Y Zhao, Z Yan, S Feng… - Building Services …, 2023 - journals.sagepub.com
Elevator safety is closely related to public safety. Overspeed governor is a crucial part of the
elevator safety system. Its inspection and calibration involve the measurement of tripping …

Developing a parallel classifier for mining in big data sets

A Shamseen, MM Zanjireh… - IIUM Engineering …, 2021 - journals.iium.edu.my
Data mining is the extraction of information and its roles from a vast amount of data. This
topic is one of the most important topics these days. Nowadays, massive amounts of data …

[PDF][PDF] A Tradeoff Between Accuracy and Speed for K-Means Seed Determination.

F Khorasani, MM Zanjireh, M Bahaghighat… - Comput. Syst. Sci …, 2022 - researchgate.net
With a sharp increase in the information volume, analyzing and retrieving this vast data
volume is much more essential than ever. One of the main techniques that would be …

[PDF][PDF] A Time-Efficient and Exploratory Algorithm for the Rectangle Packing Problem.

M Bozorgi, MM Zanjireh… - … Automation & Soft …, 2022 - pdfs.semanticscholar.org
Today, resource waste is considered as one of the most important challenges in different
industries. In this regard, the Rectangle Packing Problem (RPP) can affect noticeably both …

A new anomalous text detection approach using unsupervised methods

E Amouee, MM Zanjireh… - Facta Universitatis …, 2020 - casopisi.junis.ni.ac.rs
Increasing size of text data in databases requires appropriate classification and analysis in
order to acquire knowledge and improve the quality of decision-making in organizations …