Improving Wind Power Generation Forecasts: A Hybrid ANN-Clustering-PSO Approach

Improving Wind Power Generation Forecasts: A Hybrid ANN-Clustering-PSO Approach

This study introduces a novel hybrid forecasting model for wind power generation. It integrates Artificial Neural Networks, data clustering, and Particle Swarm Optimization algorithms. The methodology employs a systematic framework: initial clustering of weather data via the k-means algorithm, follo...

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Bibliographic Details
Main Authors:	Antonella R. Finamore, Vito Calderaro, Vincenzo Galdi, Giuseppe Graber, Lucio Ippolito, Gaspare Conio
Format:	Article
Language:	English
Published:	MDPI AG 2023-11-01
Series:	Energies
Subjects:	wind power generation wind speed forecasting artificial neural network machine learning clustering algorithm particle swarm optimization
Online Access:	https://www.mdpi.com/1996-1073/16/22/7522

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