Analysis and Impact Evaluation of Missing Data Imputation in Day-ahead PV Generation Forecasting

Analysis and Impact Evaluation of Missing Data Imputation in Day-ahead PV Generation Forecasting

Over the past decade, PV power plants have increasingly contributed to power generation. However, PV power generation widely varies due to environmental factors; thus, the accurate forecasting of PV generation becomes essential. Meanwhile, weather data for environmental factors include many missing...

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Bibliographic Details
Main Authors: Taeyoung Kim, Woong Ko, Jinho Kim
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Applied Sciences
Subjects:
PV forecasting
missing data imputation
support vector regression
linear interpolation
mode imputation
k-nearest neighbors
multivariate imputation by chained equations
Online Access:http://www.mdpi.com/2076-3417/9/1/204

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http://www.mdpi.com/2076-3417/9/1/204

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