Results 161 to 170 of about 182,554 (282)

Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems

Energy Science &Engineering, EarlyView.
This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk, Habib Benbouhenni, Adil Yahdou, Zakaria Mohamed Salem Elbarary, Nicu Bizon   +4 more
wiley   +1 more source

Advanced blade profiles for improved efficiency in Savonius wind turbines: the aeroleaf case study. [PDF]

Sci Rep
Hosseinian SM, Mohseni M, Karimi MS.
europepmc   +1 more source

AI‐Driven Optimization of a Hybrid PV–Wind–BESS Microgrid for a Rural Educational Institution in Developing Countries

Energy Science &Engineering, EarlyView.
An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan, Md. Wajed Ali, Md. Feroz Ali, Md. Shafiul Alam, Mohammad Ali, Imil Hamda Imran   +5 more
wiley   +1 more source

Recent Advances in the Analysis of Functional and Structural Polymer Composites for Wind Turbines. [PDF]

Polymers (Basel)
Lagos F, Menacer B, Salas A, Narayan S, Medina C, Valle R, Garrido C, Pincheira G, Oñate A, Hunter-Alarcón R, Tuninetti V.   +10 more
europepmc   +1 more source

Low‐Carbon Optimal Scheduling of Multiple Virtual Power Plants Based on Asymmetric Nash Bargaining

Energy Science &Engineering, EarlyView.
ABSTRACT To effectively investigate the structural discrepancies and complementary energy characteristics among multiple virtual power plants (VPPs), and to improve the economic efficiency, low‐carbon performance, and operational reliability of the multi‐agent system, this paper proposes a low‐carbon collaborative optimal operation strategy for ...
Junjie Qiu, Min Liu, Yang Peng, Haiqiang Zhao, Yuanda Wu, Yongyuan Tian   +5 more
wiley   +1 more source

Capsule-based federated reinforcement learning adaptive sliding mode for anomaly detection and control of floating wind turbines. [PDF]

PLoS One
Mohammadian KhalafAnsar H, Keighobadi J, Shahhosseini M.   +2 more
europepmc   +1 more source

Effect of Hydrotreating Severity on Jet Fuel Thermal Oxidation Stability of Olefinic Synthetic Kerosene

Energy Science &Engineering, EarlyView.
The extent of hydrotreating that is required for olefinic kerosene to pass the jet fuel thermal oxidative stability test was investigated. Fouling species are destroyed after mild hydrotreating, and no further benefit is derived from more severe hydrotreating.
Cibele Melo Halmenschlager, Laine Badaro Pereira, Arno de Klerk   +2 more
wiley   +1 more source

NeuroVI-based wave compensation system control for offshore wind turbines. [PDF]

Front Neurorobot
Ma F, Liu X, Xu Z, Ding T.
europepmc   +1 more source

Identifying Faults in Power Transformers Based on Machine‐Learning Algorithms Compared With Other Techniques

Energy Science &Engineering, EarlyView.
General framework of ensemble learning technique for transformer fault diagnostics compared with traditional dissolved gas analysis methods. ABSTRACT This paper implemented a comprehensive variety of modern machine‐learning techniques, which were demonstrated to be effective in handling complex tabular data, generating accurate predictions, and ...
Osama E. Gouda, Nourhan Ramadan, Matti Lehtonen, Mohamed M. F. Darwish   +3 more
wiley   +1 more source

Condition Monitoring System for Planetary Journal Bearings in Wind Turbines Based on Surface Acoustic Wave Measurements-Validation on a System Level. [PDF]

Sensors (Basel)
Decker TM, Jacobs G, Scholz T, Röder J, Knops M, Blumenthal J, Bauer T.   +6 more
europepmc   +1 more source