First order Markov chain model for generating synthetic “typical days” series of global irradiation in order to design photovoltaic stand alone systems

By M. Muselli, P. Poggi, G. Notton, A. Louche. 2001

53 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/38b4558c0644593326c3f25c4ac3e2783281bf46

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. M. Muselli
2. Cyril Voyant
3. Marie-Laure Nivet
4. Christophe Paoli

In Renewable Energy, Sustainability and the Environment

1. M. Muselli
2. Cyril Voyant
3. Marie-Laure Nivet
4. Christophe Paoli

Citations in the corpus

• Forecasting of preprocessed daily solar radiation time series using neural networks (2010, methodology): “In forecasting domain, some authors have tried to use so-called Markov processes (Logofet and Lesnaya, 2000; Muselli et al., 2001), specifically the Markov chains.”