Wind speed prediction for small sample dataset using hybrid first‐order accumulated generating operation‐based double exponential smoothing model
Author:
Affiliation:
1. Department of Mechanical and Electrical Engineering Massey University Palmerston North New Zealand
2. Department of Mechanical Engineering NED University of Engineering and Technology Karachi Pakistan
Funder
Massey University
Higher Education Commission, Pakistan
Publisher
Wiley
Subject
General Energy,Safety, Risk, Reliability and Quality
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ese3.1047
Reference53 articles.
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2. Statistical review of world energy.2021. Accessed July 30 2021.https://www.bp.com/content/dam/bp/business‐sites/en/global/corporate/pdfs/energy‐economics/statistical‐review/bp‐stats‐review‐2021‐full‐report.pdf
3. Current Perspective on the Accuracy of Deterministic Wind Speed and Power Forecasting
4. Current advances and approaches in wind speed and wind power forecasting for improved renewable energy integration: A review
5. A review of wind speed and wind power forecasting with deep neural networks
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