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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2016
عنوان انگلیسی مقاله:
A New Transient Voltage Stability Prediction Model Using Big Data Analysis
ترجمه فارسی عنوان مقاله:
مدل پیشبینی ثبات ولتاژ جدید با استفاده از تجزیه و تحلیل داده های بزرگ
منبع:
IEEE - The IEEE PES Innovative Smart Grid Technologies 2016 Asian Conference, Nov 28 - Dec 1, 2016, Melbourne Exhibition & Convention Centre in Melbourne, Australia
نویسنده:
Bingbing Zhao and Junwei Cao , Ziyu Zhu , Huaying Zhang
چکیده انگلیسی:
A new prediction model is proposed in transient
stability analysis based on machine learning in this paper. It
extracts features ahead from the time point that we want to make
prediction, which produce an interval to take actions. The
proposed model also takes network information into
consideration, and tried to analyze how nodes in power grid
influence each other. Compared to traditional algorithms which
just use data from a single node in the past, this model has higher
prediction accuracy. Logistic regression is chosen to be the
classifier because the learning parameters can be regarded as the
significance of variables. At the end, we also develop a practical
system called RGAS by mixing Hadoop and Storm. It can
perform learning off-line with high throughout, and make
predictions on-line with low delay.
Keywords: voltage stability | big data | machine learning | feature selection | cloud computing | hadoop
قیمت: رایگان
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