Results 261 to 270 of about 15,833 (350)

Feasibility of Wind‐Powered Green Hydrogen Production via a Hybrid Graph Neural Network‐Transformer Forecasting Model

Energy Science &Engineering, EarlyView.
ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei, Mojtaba Mirhosseini, Alireza Zahedi   +2 more
wiley   +1 more source

Portability of short term wind power forecasting: investigating model calibration using wind power data from Ireland and UK. [PDF]

Sci Rep
Deignan C, Sopeña JMG, Ghosh B, Pakrashi V.   +3 more
europepmc   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

Data-driven dynamic modeling for inverter-based resources using neural networks. [PDF]

Nat Commun
Yang K, Wang X, Chen X, Wang R, Geng G, Jiang Q.   +5 more
europepmc   +1 more source

A Comprehensive Review of AI‐Powered Energy Systems

Energy Science &Engineering, EarlyView.
The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo, Pedram Asef, Masoumeh Javadi, Mousa Marzband, Shady S. Refaat, Muhyaddin Rawa   +5 more
wiley   +1 more source

Beyond wind speed: Integrating oceanic indices and time-lagged features for superior wind energy prediction. [PDF]

PLoS One
Rathnayake N, Yadev M, Jayasinghe J, Rathnayake U, Minamide M, Hoshino Y.   +5 more
europepmc   +1 more source

Temperature Coefficient Analysis of Polycrystalline PV Modules Under Field Conditions in Ghana

Energy Science &Engineering, EarlyView.
Field measurements from a commercial PV plant in Ghana show polycrystalline module temperature coefficients of −0.473%/°C—31% higher than manufacturer values—highlighting the risk of underestimating energy losses and degradation in fast‐growing West African solar deployments.
Emmanuel Akono Sarsah, Abdul‐Rahim Bawa   +1 more
wiley   +1 more source

Research on enhancing short-term wind power forecasting through feature fusion in a hybrid deep learning framework. [PDF]

Sci Rep
Su X, Gao J, Han K, Kim H, Jung H.
europepmc   +1 more source

Renewable Energies in Kazakhstan: Current Status, Potential, Challenges, and Opportunities

Energy Science &Engineering, EarlyView.
Kazakhstan has strong renewable energy potential, with wind as the leading resource and solar and other sources offering additional opportunities. Key challenges include limited infrastructure, investment needs, and grid‐related technical issues. Despite these barriers, renewables can boost economic diversification, enhance energy security, create jobs,
Lyailim Taizhanova, Akhmetov Berik, Samal Syrlybekkyzy, Shynar Baimukasheva, Symbat Koibakova, Nurkhat Zhakiyev, Mohammad Alhuyi Nazari, Mohamed Salem   +7 more
wiley   +1 more source

Multiclass Dataset for Intelligent Detection of Wind Turbine Blade Defects Using Drone Imagery. [PDF]

Sci Data
Ji L, Cheng J, Wu S.
europepmc   +1 more source