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Titlebook: Data Analytics for Renewable Energy Integration; Third ECML PKDD Work Wei Lee Woon,Zeyar Aung,Stuart Madnick Conference proceedings 2015 Sp

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發(fā)表于 2025-3-21 18:12:03 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Data Analytics for Renewable Energy Integration
副標(biāo)題Third ECML PKDD Work
編輯Wei Lee Woon,Zeyar Aung,Stuart Madnick
視頻videohttp://file.papertrans.cn/263/262704/262704.mp4
概述Includes supplementary material:
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Data Analytics for Renewable Energy Integration; Third ECML PKDD Work Wei Lee Woon,Zeyar Aung,Stuart Madnick Conference proceedings 2015 Sp
描述.This bookconstitutes revised selected papers from the third ECML PKDD Workshop on DataAnalytics for Renewable Energy Integration, DARE 2015, held in Porto, Portugal,in September 2015. .The 10 papers presented in this volume were carefully reviewed and selected forinclusion in this book..
出版日期Conference proceedings 2015
關(guān)鍵詞artificial intelligence; data mining; machine learning; renewable energy; statistical methods; analytics;
版次1
doihttps://doi.org/10.1007/978-3-319-27430-0
isbn_softcover978-3-319-27429-4
isbn_ebook978-3-319-27430-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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What Form Did Class Consciousness Take?,ative work. We also illustrate that the argument theoretical model leads to reduce participants’ performance. Moreover, we conclude that there is no significant difference between narrative representation and graph representation in the participants’ performance to construct knowledge.
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Performance Analysis of Data Mining Techniques for Improving the Accuracy of Wind Power Forecast Comore critical especially for unstable energy sources such as wind. The focus of this work is the performance analysis of several alternative wind forecast combination models in comparison to the current forecast combination module of the wind power monitoring and forecast system of Turkey, developed
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Classification Cascades of Overlapping Feature Ensembles for Energy Time Series Data,me series is relevant in various applications, e.g., in the task of learning meta-models of feasible schedules for flexible components in the energy domain. In this paper, we introduce a classification approach that employs a cascade of classifiers based on features of overlapping time series steps.
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