Improved quadratic interpolation optimizer for stochastic short-term hydrothermal scheduling with integration of solar PV and wind power

Abstract The quadratic interpolation optimization (QIO) introduces a novel approach inspired by the generalized quadratic interpolation (GQI) with dual mechanisms. Initially, QIO employs GQI in its exploration strategy, updating populations based on two randomly selected individuals. Subsequently, i...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Noor Habib Khan, Yong Wang, Raheela Jamal, Mohamed Ebeed, Salah Kamel, Guma Ali, Francisco Jurado, Abdel-Raheem Youssef
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Nature Portfolio 2025-04-01
Sarja:	Scientific Reports
Aiheet:	Generalized quadratic interpolation Hydrothermal scheduling Weibull flights Prairie dog optimization Quadratic interpolation optimization
Linkit:	https://doi.org/10.1038/s41598-025-86881-4
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