Results 201 to 210 of about 10,569,882 (297)
Hybrid Forecast-Enabled Adaptive Crowbar Coordination for LVRT Enhancement in DFIG Wind Turbines. [PDF]
Su X, Kim H, Kim C, Zhang M, Jung H.
europepmc +1 more source
Energy Flexibilization and Demand Response for a Novel Decentralized Power‐to‐Methanol Process
This study presents the results of an optimization framework for the scheduling of a Power‐to‐methanol process coupled with an electrolyser, renewable energy sources and a battery. The optimal dynamic operating schedule is computed with different configurations and boundary conditions, showing the advantages of flexible operation.
Max Kollmer +5 more
wiley +1 more source
High-resolution South American wind resource data downscaled with generative machine learning conditioned on near-surface observations. [PDF]
Benton BN +4 more
europepmc +1 more source
A conversation with James V. Zidek
AbstractThis article documents a series of exchanges between the authors and the senior Canadian statistician Jim Zidek in early 2026. The interview traces his life trajectory, surveying his principal contributions to statistics while offering insights into his motivations, successes, and challenges. Zidek is a Fellow of the Royal Society of Canada and
Christian Genest, Nancy E. Heckman
wiley +1 more source
RCS-YOLOv8: an improved YOLOv8 for wind turbine blade defect detection. [PDF]
Jiao Y, Xu C, Zhao J, Li J, Ding Z.
europepmc +1 more source
Shifting Tides: A Decade of Business Climate Adaptation and Resilience Research (2013–2023)
ABSTRACT Climate change is causing significant disruptions to the socio‐ecological systems in which organizations operate, presenting unprecedented challenges for businesses across sectors in adapting to shifting environmental conditions and building resilience to extreme weather events.
Domenico Villano +3 more
wiley +1 more source
Advanced digital skills demands and priorities in wind energy sector. [PDF]
Stoltmann E +7 more
europepmc +1 more source
ABSTRACT Voluntary carbon offsetting programs (VCOPs) are available for airline passengers who want to take action and offset their scope 3 emissions. Yet, their uptake is very limited. In this study, we propose an integrated theoretical model involving the norm activation theory and protection motivation theory to understand airline passengers ...
Eric Tchouamou Njoya +4 more
wiley +1 more source
Deep Learning-Based Intelligent Resource Management for Renewable Energy Engineering Projects. [PDF]
Yao Y.
europepmc +1 more source
A novel shear‐lag model, validated by pull‐out tests, incorporates a constant bond stress stage to predict the complete load–displacement response of grouted rock bolts, providing a new tool for optimizing anchorage length and material toughness in deep underground engineering. Abstract The stability of rock masses in deep underground excavations, such
Wenhui Bian +6 more
wiley +1 more source

