Automated Adaptive-Ensemble Framework for Large Wind Power Prediction in Poland Using Deep Learning Models

Automated Adaptive-Ensemble Framework for Large Wind Power Prediction in Poland Using Deep Learning Models

Prediction of considerable wind power is a significant factor in modern power systems’ robust and resilient operation. As a result, many studies addressed up-to-day-ahead wind power forecasting. Taking into account the abilities of Machine Learning (ML) Models and their combinations, in this paper,...

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Bibliographic Details
Main Authors: Michal Wydra, Mateusz Kozlowski, Dariusz Czerwiński, Bogdan Ksiezopolski
Format: Article
Language:English
Published: Lublin University of Technology 2022-12-01
Series:Advances in Sciences and Technology
Subjects:
numerical weather prediction
forecasting
wind power
neural networks
ensemble architecture
adaptive model
Online Access:http://www.astrj.com/Automated-Adaptive-Ensemble-Framework-for-Large-Wind-Power-Prediction-in-Poland-Using,156316,0,2.html

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http://www.astrj.com/Automated-Adaptive-Ensemble-Framework-for-Large-Wind-Power-Prediction-in-Poland-Using,156316,0,2.html

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