Mid-long term load forecasting model based on support vector machine optimized by improved sparrow search algorithm

The regression model based on the support vector machine (SVM) is a standard mid-term and long-term load forecasting method.However, the hyperparameters of traditional SVM are challenging to determine, leading to its poor forecasting effect.This paper proposes an improved sparrow search algorithm (ISSA) to solve the problem of hyperparameter select

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Molecular phylogeny of Trissolcus wasps (Hymenoptera, Scelionidae) associated with Halyomorpha halys (Hemiptera, Pentatomidae)

As the brown marmorated stink bug (Halyomorpha halys) 100% Human Hair (Single Pack) has spread across the Northern Hemisphere, research on its egg parasitoids has increased accordingly.These studies have included species-level taxonomy, experimental assessments of host ranges in quarantine, and surveys to assess parasitism in the field.We here pres

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Elucidating knowledge and beliefs about obesity and eating disorders among key stakeholders: paving the way for an integrated approach to health promotion

Abstract Background Compact Fridge Understanding the knowledge and beliefs of key stakeholders is crucial in developing effective public health interventions.Knowledge and beliefs about obesity and eating disorders (EDs) have rarely been considered, despite increasing awareness of the need for integrated health promotion programs.We investigated ke

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