Short-term load forecasting in renewable energy microgrids using PSO-optimized parallel artificial neural networks

Abstract Accurate short-term net load forecasting is essential for reliable operation of renewable energy-integrated microgrids. This paper presents a parallel ensemble PSO-ANN framework comprising three independently optimized Artificial Neural Network (ANN) modules for solar power, wind power, and...

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Detalhes bibliográficos

Principais autores:	Jigneshkumar Desai, Rakeshkumar A. Patel, Nikunj Patel, Meet Sureja
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Springer 2026-06-01
coleção:	Industrial Artificial Intelligence
Assuntos:	Short-term load forecasting Particle swarm optimization Artificial neural networks Net load prediction Renewable energy integration Parallel ensemble forecasting
Acesso em linha:	https://doi.org/10.1007/s44244-026-00027-7
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