INVESTIGATING BLACK-BOX MODEL FOR WIND POWER FORECASTING USING LOCAL INTERPRETABLE MODEL-AGNOSTIC EXPLANATIONS ALGORITHM

Investigating Black-Box Model for Wind Power Forecasting Using Local Interpretable Model-Agnostic Explanations Algorithm

Wind power forecasting (WPF) is important for safe, stable, and reliable integration of new energy technologies into power systems.Machine learning (ML) algorithms have recently attracted NUTRI SEA HP increasing attention in the field of WPF.However, opaque decisions and lack of trustworthiness of black-box models for WPF could cause scheduling ris

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The modification and evaluation of an ELISA test for the surveillance of Mycobacterium avium subsp. paratuberculosis infection in wild ruminants

Abstract Background Enzyme-linked immunosorbent assay (ELISA) is often used to test wildlife samples for Mycobacterium avium subsp.paratuberculosis (MAP) infection.However, commercially available kits are only validated for use with domestic ruminant species.A literature review was performed to document the current use of MAP serum ELISA in wild an

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