Titlebook: New Trends in Disruptive Technologies, Tech Ethics, and Artificial Intelligence; The DITTET 2024 Coll Daniel H. de la Iglesia,Juan F. de Pa

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978-3-031-66634-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/n/image/665929.jpg

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Ensemble Learning Models for?Wind Power Forecastingower forecasting is crucial for effectively harnessing wind energy and ensuring the reliable operation of power systems. However, due to the unique characteristics of wind power generation time series, developing statistical models for forecasting can be a challenging endeavor. This paper introduces

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Requirements on?and?Procurement of?Explainable Algorithms—A Systematic Review of?the?Literatures challenges, in particular with respect to ‘black box’ machine learning algorithms. Therefore, questions of transparency and explainability in these systems receive much attention. However, most organizations do not build their software from scratch, but rather procure it from others. Thus, it beco

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Mapping Changes in Procurement Management for Project Implementation in the Food Sector: An Applied e market, this study aims to provide an overview of the changes that occurred in the transition from PMBOK?Guide v.6 to PMBOK?Guide v.7, with special attention to the knowledge area applied to procurement management. The main objective is to identify the favorable and unfavorable points of the imple