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Titlebook: Data Analytics for Renewable Energy Integration; 4th ECML PKDD Worksh Wei Lee Woon,Zeyar Aung,Stuart Madnick Conference proceedings 2017 Sp

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發(fā)表于 2025-3-21 16:21:54 | 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4th ECML PKDD Worksh
編輯Wei Lee Woon,Zeyar Aung,Stuart Madnick
視頻videohttp://file.papertrans.cn/263/262702/262702.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; 4th ECML PKDD Worksh Wei Lee Woon,Zeyar Aung,Stuart Madnick Conference proceedings 2017 Sp
描述.This book constitutes revised selected papers from the 4th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2016, held in Riva del Garda, Italy, in September 2016. . The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response and many others..
出版日期Conference proceedings 2017
關(guān)鍵詞big data analytics; cybersecurity; data analysis; demand response; fault detection; forecasting; pattern r
版次1
doihttps://doi.org/10.1007/978-3-319-50947-1
isbn_softcover978-3-319-50946-4
isbn_ebook978-3-319-50947-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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https://doi.org/10.1007/978-3-030-00798-0hus an important problem in the analysis of photovoltaic systems data. We consider the problem of estimating the starting time and end time of a fault, i.e. we want to locate the fault in time series data. We assume to know the power output, plane-of-array irradiance and optionally the module temper
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Civilisations and Social Theoryachine Learning based prediction at hour . of the aggregated photovoltaic (PV) energy of Peninsular Spain using the irradiances measured by Meteosat’s visible and infrared channels at hours . and .. We will work with Lasso and Support Vector Regression models and show that both give best results whe
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https://doi.org/10.1057/9780230621602te of the system for a specified set of power generation, loads, and network conditions. However this deterministic methodology does not take into account the uncertainty in the power systems, for example the variability in power generation, variation in the demand, changes in network configuration.
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Civilizational Dialogue and World Ordersting methods. As different scientific communities are dedicated to that topic, many solutions are proposed but not all are suited for users from utility companies. We describe an empirical approach to analyze the scientific relevance of renewable energy forecasting methods in literature. Then, we c
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Civilizational Dialogue and World Ordergly sophisticated industrial control systems (ICS). But, that also increases the potential risks from cyber-attacks. Despite increasing attention to technical aspects (i.e., software and hardware) of cybersecurity, many professionals and scholars pay little or no attention to its organizational aspe
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Civilizational Dialogue and World Order Photovoltaic (PV) power plants hold the biggest share of installed capacity of renewable energy in Germany, so that high quality PV power forecasts are vital for a cost efficient operation of the underlying electrical grid. In this paper, we evaluate multiple Numerical Weather Prediction (NWP) para
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