Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power

DOI10.1016/j.matcom.2015.05.010OpenAlexW858921981MaRDI QIDQ2228917

Marco Mussetta, Francesco Grimaccia, A. Dolara, Sonia Leva, E. Ogliari

Publication date: 19 February 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2015.05.010

zbMATH Keywords

artificial neural networkphotovoltaic systemenergy forecasting

Mathematics Subject Classification ID

Optics, electromagnetic theory (78-XX) General and overarching topics; collections (00-XX)

Related Items (4)

A 3d model of the effect of using heat spreader on the performance of photovoltaic panel (PV) ⋮ An iterative algorithm for simulating heat recovery from exhaust gas -- application on generators ⋮ Performance evaluation of a locally modified PV module to a PV/t solar collector under climatic conditions of semi-arid region ⋮ Comparison of echo state network and feed-forward neural networks in electrical load forecasting for demand response programs

Cites Work

• Artificial intelligence techniques: An introduction to their use for modelling environmental systems

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