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 increasing attention in the field of WPF.However, opaque decisions and lack of trustworthiness of black-box models for WPF could cause scheduling risks.This study

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Role of digital media as political communication tools in elections: A study on political science students at a public university in Ghana

Digital media is often understood through technical lenses that do not include the central issues of how and for what purposes they are aluminum lotion used by citizens.Studies on social and personal factors that determine the use and outcome of digital political communication on elections are limited.Therefore, the purpose of this study is to inve

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