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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书目名称Data Analytics for Renewable Energy Integration影响因子(影响力)




书目名称Data Analytics for Renewable Energy Integration影响因子(影响力)学科排名




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书目名称Data Analytics for Renewable Energy Integration网络公开度学科排名




书目名称Data Analytics for Renewable Energy Integration被引频次




书目名称Data Analytics for Renewable Energy Integration被引频次学科排名




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书目名称Data Analytics for Renewable Energy Integration年度引用学科排名




书目名称Data Analytics for Renewable Energy Integration读者反馈




书目名称Data Analytics for Renewable Energy Integration读者反馈学科排名

overbearing

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.

nerve-sparing

nerve-sparing

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.

Palatial

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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Gerontology

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.