Treatment on Missing Data of Wind Speed Measurement in Automatic Weather Station Using Multivariate Imputation Chained Equation-Reference-Cited by-同舟云学术

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Treatment on Missing Data of Wind Speed Measurement in Automatic Weather Station Using Multivariate Imputation Chained Equation

Published:2023-08-09 Issue: Volume: Page:
ISSN:
Container-title:2023 8th International Conference on Instrumentation, Control, and Automation (ICA)
language:
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Author:

Wicaksana Haryas Subyantara¹,Winarko Shodiq²,Kurniadi Deddy³

Affiliation:

1. Institut Teknologi Bandung,Master Program in Instrumentation and Control,Bandung,Indonesia

2. Meteorology, Climatology and Geophysics Agency of Indonesia,Center for Instrumentation, Calibration and Engineering,Jakarta,Indonesia

3. Institut Teknologi Bandung,Instrumentation and Control Research Group, Faculty of Industrial Technology,Bandung,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10273006/10273046/10273106.pdf?arnumber=10273106

Reference12 articles.

1. SICE: an improved missing data imputation technique

2. Missing data imputation of high‐resolution temporal climate time series data

3. The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation;chicco;PeerJ Computer Science,2021

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

5. Data-driven calibration of cup anemometer based on field measurements and artificial neural network for wind measurement around buildings

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