Results 61 to 70 of about 682 (148)

Research on Dynamic Characteristics of Electromechanical Coupling for the Ultra‐Compact Wind Turbines

open access: yesWind Energy, Volume 29, Issue 9, September 2026.
ABSTRACT With the development of ultra‐compact wind turbines, the electromechanical coupling dynamic characteristics of integrated gearbox‐generator systems in their drive trains have attracted increasing attention. To reveal these characteristics, an electromechanical coupling dynamic model is established using the lumped parameter method and the ...
Yin Runsheng   +3 more
wiley   +1 more source

A Hybrid LSTM‐KAN Framework With Dynamic Residual and Adaptive Grid for Robust Wind Speed Forecasting

open access: yesWind Energy, Volume 29, Issue 9, September 2026.
ABSTRACT Accurate wind speed forecasting is indispensable for the efficient integration of wind power into the electrical grid, optimizing turbine scheduling, and ensuring grid stability. Existing models, such as Long Short‐Term Memory (LSTM) networks, often struggle to capture the highly nonlinear relationships and long‐range dependencies present in ...
Guangjie Liu   +3 more
wiley   +1 more source

Do tax havens affect the usage of share buybacks schemes?

open access: yesAnnals of Public and Cooperative Economics, Volume 97, Issue 3, Page 579-616, September 2026.
Abstract This study examines whether the use of tax haven subsidiaries by U.S. multinational corporations (MNCs) is associated with more intense usage of share buybacks. I find that MNCs' more intensive tax haven subsidiary usage is positively associated with a higher buyback ratio, a higher level of free cash flow and a higher level of return on ...
Alessandro Chiari
wiley   +1 more source

Satellite‐Based Fishing Fleet Tracking: A New Foundation for Fisheries Science and Management

open access: yesFish and Fisheries, Volume 27, Issue 5, Page 1134-1150, September 2026.
ABSTRACT Satellite‐based vessel‐tracking technologies have ushered in a new era for monitoring fishing activity at scale. By combining artificial intelligence (AI) methods with remotely‐sensed data, researchers can now detect, classify and analyse fishing behaviour across vast and previously unobservable ocean regions.
Jennifer Raynor, Tai Lohrer
wiley   +1 more source

Iran's Gas Sector in Conflict: Infrastructure Vulnerability & Market Implications

open access: yesMiddle East Policy, Volume 33, Issue 3, Autumn (Fall) 2026.
Abstract This article examines the structural vulnerability of Iran's natural gas sector under conditions of conflict, focusing on the March 2026 strikes on the South Pars/Asaluyeh complex. Despite holding the world's second‐largest reserves and ranking among the top producers, Iran's gas system is characterized by high infrastructure concentration ...
Umud Shokri
wiley   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

open access: yesThe Canadian Journal of Chemical Engineering, Volume 104, Issue 8, Page 4079-4100, August 2026.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos   +3 more
wiley   +1 more source

Geological and Technical Foundations of Offshore CO<sub>2</sub> Storage in Depleted Reservoirs. [PDF]

open access: yesACS Omega
Shah MS   +6 more
europepmc   +1 more source

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

open access: yesEnergy Science &Engineering, Volume 14, Issue 8, Page 3674-3696, August 2026.
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   +2 more
wiley   +1 more source

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