Christophe Paoli
researcher
Facts
8 properties- Instance of
- human
- Occupation
- researcher
- Employer
- Galatasaray University, University of Corsica Pasquale Paoli, Ministry of Foreign Affairs and Foreign Trade
- Educated at
- University of Corsica Pasquale Paoli, University of Corsica Pasquale Paoli, University of Corsica Pasquale Paoli
- Doctoral student
- Cyril Voyant[3]
- Family name
- Paoli (surname)[4]
- Given name
- Christophe[5]
🏷️ Also known as
en Christophe Paoli
🔖 Identifiers · 7
- ORCID iD
- 0000-0002-3093-1119
- VIAF cluster ID
- 282360541
- DBLP author ID
- 95/1828
- Dimensions author ID
- 013303436525.05
- HAL author ID
- christophe-paoli
- IdRef ID
- 161423078
- Springer Nature person ID
- 013303436525.05
🔗 Connections
Author of 6
Forecasting method for global radiation time series without training phase: Comparison with other well-known prediction methodologies,
Hybridization of Air Quality Forecasting Models Using Machine Learning and Clustering: An Original Approach to Detect Pollutant Peaks,
Multilayer Perceptron approach for estimating 5-min and hourly horizontal global irradiation from exogenous meteorological data in locations without solar measurements,
Solar irradiation prediction with machine learning: Forecasting models selection method depending on weather variability,
Time series forecasting on multivariate solar radiation data using deep learning (LSTM),
Time series forecasting on solar irradiation using deep learning
← Authored by 6
Forecasting method for global radiation time series without training phase: Comparison with other well-known prediction methodologies,
Hybridization of Air Quality Forecasting Models Using Machine Learning and Clustering: An Original Approach to Detect Pollutant Peaks,
Multilayer Perceptron approach for estimating 5-min and hourly horizontal global irradiation from exogenous meteorological data in locations without solar measurements,
Solar irradiation prediction with machine learning: Forecasting models selection method depending on weather variability,
Time series forecasting on multivariate solar radiation data using deep learning (LSTM),
Time series forecasting on solar irradiation using deep learning
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