This paper introduces Artificial Neural Network as a tool to forecast the production of solar energy photovoltaic plants. This procedure essentially represents a bio-inspired heuristic search technique, which is often used to solve complex forecasting problems, modeled on the concepts of biological neurons. Some simulation results are reported to highlight advantages and drawbacks of the proposed technique in order to suitably apply this algorithm to solar energy production.
Photovoltaic plants predictive model by means of artificial neural networks
GRIMACCIA, FRANCESCO;MUSSETTA, MARCO;ZICH, RICCARDO
2011-01-01
Abstract
This paper introduces Artificial Neural Network as a tool to forecast the production of solar energy photovoltaic plants. This procedure essentially represents a bio-inspired heuristic search technique, which is often used to solve complex forecasting problems, modeled on the concepts of biological neurons. Some simulation results are reported to highlight advantages and drawbacks of the proposed technique in order to suitably apply this algorithm to solar energy production.File in questo prodotto:
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