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Academic Articles & Research Papers
Showing 15 of 15 academic articles
M. K. Mehta, M. Zaaijer, D. von Terzi • Wind Energy Science
(2024)
Traditionally, wind turbine and wind farm designs have been optimized to minimize the cost of energy. Such a design would make sense when bidding in price-based auctions. However, in a future with a high share of renewables and zero subsidi...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/wes-9-2283-2024
Xiangyang Zheng, Yancai Xiao, Xinran Li • Machines
(2026)
Wind turbine (WT) misalignment fault diagnosis is constrained by critical signal processing challenges: weak fault features, intense background noise, and poor generalization. This study proposes a lightweight method for high-precision faul...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/machines14020155
Renfei Kuang, Jinhai Zhao, Tuo Zhang, Chengyang Li • Journal of Marine Science and Engineering
(2025)
Offshore wind turbines are prone to structural damage over time due to environmental factors, which increases operational costs and the risk of accidents. Early detection of structural damage through monitoring systems can help reduce maint...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/jmse13040629
Victor J. Gutierrez-Martinez, Carlos A. Moreno-Bautista, Jose M. Lozano-Garcia, Alejandro Pizano-Martinez et al. • Energies
(2019)
This paper presents the development of a heuristic-based algorithm for a Home Electric Energy Management System (HEEMS). The novelty of the proposal resides in the fact that solutions of the Pareto front, minimizing both the energy consumpt...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/en12040671
Shiji Huang, Qiusheng Li, Zhenru Shu, Pak Wai Chan • Wind Energy
(2023)
Abstract Accurate and reliable assessment of wind energy potential has important implication to the wind energy industry. Most previous studies on wind energy assessment focused solely on wind speed, whereas the dependence of wind energy on...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/we.2847
Muhammad Irfan, Naeem Abas, Muhammad Shoaib Saleem • Case Studies in Thermal Engineering
(2018)
With the increase in energy demand globally, environmental risks are also becoming more serious than ever before. Emission of carbon dioxide (CO2) and other greenhouse gases (GHGs) are hastily contributing to global warming and ozone deplet...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.csite.2018.10.008
Jinghui Li, Wei Shi, Lixian Zhang, Constantine Michailides et al. • Journal of Marine Science and Engineering
(2021)
There is a huge energy demand from offshore renewable energy resources. To maximize the use of various renewable energy sources, a combined floating energy system consisting of different types of energy devices is an ideal option to reduce ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/jmse9101101
Vasin-Bojić Sanja • Scientific Technical Review
(2019)
Emerging engineering challenges in wind power electricity generation bond with stringent industrial requirements, have tendency to outline development and design process in the ready set go manner. From given predisposition one of the conse...
DOAJ
Open Access (DOAJ)
A.S. Grigoriev, V.V. Skorlygin, S.A. Grigoriev, D.A. Melnik et al. • International Journal of Electrochemical Science
(2018)
The goal of this paper is to present hybrid power plant based on photovoltaic panels, wind turbine and electrochemical energy storage and generation systems for decentralized power supply of the customers located remotely in northern territ...
DOAJ
Open Access (DOAJ)
DOI: 10.20964/2018.02.54
J. Middendorf, A. Kelm, S. Frintrop • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2025)
The paper proposes a novel framework for automatically detecting wind turbines in orthophotos, transferring this information to a database, and linking detected turbines to an existing registry to minimize location inaccuracy. This inaccura...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-archives-XLVIII-M-7-2025-35-2025
Xiaojiao Chen, Xiuqing Zhang, Mi Dong, Liansheng Huang et al. • Frontiers in Energy Research
(2021)
The prediction of wind power plays an indispensable role in maintaining the stability of the entire power grid. In this paper, a deep learning approach is proposed for the power prediction of multiple wind turbines. Starting from the time s...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fenrg.2021.723775
Alberto Gil-Maciá, J. Enrique Sierra-García, Matilde Santos • Machine Learning with Applications
(2026)
Discrete reinforcement learning (RL) offers interpretability advantages compared to continuous reinforcement learning. Neural networks used in continuous RL behave like black boxes that do not show an obvious relationship between the system...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.mlwa.2026.100919
Nikolaos Sifakis, Antonios Kapenis, Athanasios Kolios, George Arampatzis • Energies
(2026)
Accurate, uncertainty-aware estimation of instantaneous wind turbine output is a prerequisite for integrating onshore assets into low-emission energy systems, where operational monitoring, energy-performance verification, and cooperative as...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/en19122897
Christoph Balada, Max Bondorf, Sheraz Ahmed, Markus Zdrallek et al. • IEEE Access
(2025)
Electricity grids have become an essential part of daily life, even if they are often not noticed in everyday life. We usually only become particularly aware of this dependence by the time the electricity grid is no longer available. Howeve...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3560811
Lijo Jacob Varghese, Suma Sira Jacob, Jaisiva Selvaraj, Tefera Mekonnen Azerefegn • Scientific Reports
(2025)
Abstract This article describes a method for improving power grid voltage profiles by more effectively regulating reactive power through the integration of hybrid renewable energy systems (HRES) in smart grids. The unpredictable nature of r...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-24751-9