Adama II wind farm long-term power generation forecasting based on machine learning models

Adama II wind farm long-term power generation forecasting based on machine learning models

The present article develops time series machine learning models to forecast the Adama II wind farm's long-term power production using SCADA data. The study applied data from the previous six years (2016 to 2021) with five years of data for training the model and the remaining one year for test...

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Bibliographic Details
Main Authors: Solomon Terefe Ayele, Mesfin Belayneh Ageze, Migbar Assefa Zeleke, Temesgen Abriham Miliket
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Scientific African
Subjects:
Adama II Wind Farm
Wind farm
Long-term power forecasting
Machine learning
XGBoost
SARIMAX
Online Access:http://www.sciencedirect.com/science/article/pii/S2468227623002879

Internet

http://www.sciencedirect.com/science/article/pii/S2468227623002879

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