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Titlebook: Data Analytics for Renewable Energy Integration; Second ECML PKDD Wor Wei Lee Woon,Zeyar Aung,Stuart Madnick Conference proceedings 2014 Sp

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發(fā)表于 2025-3-21 18:18:54 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Data Analytics for Renewable Energy Integration
副標(biāo)題Second ECML PKDD Wor
編輯Wei Lee Woon,Zeyar Aung,Stuart Madnick
視頻videohttp://file.papertrans.cn/263/262703/262703.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Data Analytics for Renewable Energy Integration; Second ECML PKDD Wor Wei Lee Woon,Zeyar Aung,Stuart Madnick Conference proceedings 2014 Sp
描述This book constitutes revised selected papers from the second ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2014, held in Nancy, France, in September 2014. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book.
出版日期Conference proceedings 2014
關(guān)鍵詞Artificial Intelligence; Data Analytics; Data Mining; Electrical Engineering; Energy Distribution; Fault
版次1
doihttps://doi.org/10.1007/978-3-319-13290-7
isbn_softcover978-3-319-13289-1
isbn_ebook978-3-319-13290-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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The Research on Vulnerability Analysis in OpenADR for Smart Grid,tracted the violations of rules such as OBJ01-J that means the scope of declaring member variables which should be obeyed in Object-Oriented Programming and IDS00-J that means the validation for input data which should be obeyed in Web environment. By eliminating the weaknesses we could enhance the security of Smart Grid communications.
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https://doi.org/10.1057/9780230616493gularities and patterns and the correlation between operating different devices. Subsequently, we show the existence of detectable time and energy flexibility in device operations. Finally, we provide various results providing a foundation for load- and flexibility-detection and -prediction at the device level.
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Towards Flexibility Detection in Device-Level Energy Consumption,gularities and patterns and the correlation between operating different devices. Subsequently, we show the existence of detectable time and energy flexibility in device operations. Finally, we provide various results providing a foundation for load- and flexibility-detection and -prediction at the device level.
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Systematical Evaluation of Solar Energy Supply Forecasts,y, we describe our idea of a standardized forecasting process and the typical parameters possibly influencing the selection of a specific model. We discuss model combination as an optimization option and evaluate this approach comparing different statistical algorithms against flexible hybrid models in a case study.
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https://doi.org/10.1007/978-3-319-50400-1refine these day-ahead forecasts to obtain same-day hourly PV production updates that for a given hour . use PV energy readings up?to that hour to derive updated PV forecasts for hours .. While simple from a Machine Learning point of view, these methods yield encouraging first results and also suggest ways to further improve them.
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