Hybrid Algorithm Optimizes Renewable Distributed Generation Under Uncertainty in Power Networks
An optimization planning model using an improved genetic moth swarm algorithm effectively placed and sized hybrid renewable generation units under ...
An optimization planning model using an improved genetic moth swarm algorithm effectively placed and sized hybrid renewable generation units under ...
Researchers have developed an analytical, non-iterative model based on momentum conservation to predict wake deflection and secondary steering across wind ...
A newly developed analytical rotor-integration model evaluates vertical wind speed variations to substantially improve turbine power predictions across complex mountainous ...
Computational simulations reveal that atmospheric gravity waves triggered by modern wind turbines cause upstream flow deceleration and non-monotonic wake variations.
Laboratory tests of humpback whale-inspired serrated wind turbine blades show they spin up to 142 percent faster and generate about ...
A study of 6,712 Chinese wind projects projects decommissioned turbine capacity rising to 64.40 GW by 2050, with recycling avoiding ...
A modelling study of India's Exclusive Economic Zone finds turbine technology drives projected offshore wind energy yield far more than ...
A preprint under review in Wind Energy Science shows that a compact set of wind speed and turbulence descriptors is ...
Researchers in Türkiye have combined IoT sensors, gradient-boosted machine learning, and a safely grounded large language model into a prototype ...
Physics-regularised neural networks trained on 292 simulations predicted fine-scale wind and pressure fields in seconds, while conservation penalties improved physical ...
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© 2026 Scienmag - Science Magazine