Christophe Paoli

4.1k citations

30 papers · 3.0k indexed · 2 hit papers · h-index 18

Renewable Energy, Sustainability and the Environment top 1%
- Photovoltaic System Optimization Techniques 13
- Solar Thermal and Photovoltaic Systems 6
Artificial Intelligence top 0.5%
- Solar Radiation and Photovoltaics 22
Energy Engineering and Power Technology top 5%
Electrical and Electronic Engineering top 2%
- Energy Load and Power Forecasting 19
Management Science and Operations Research top 2%
- Grey System Theory Applications 2
Environmental Engineering
- Air Quality Monitoring and Forecasting 4
- Hydrological Forecasting Using AI 3
Atmospheric Science
- Meteorological Phenomena and Simulations 3

Co-authors: Marie Laure Nivet Cyril Voyant Gilles Notton Alexis Fouilloy Fabrice Motte Marc Muselli Soteris A. Kalogirou Christophe Darras
Cited by: Renewable Energy, Sustainability and the Environment Artificial Intelligence Energy Engineering and Power Technology
Journals: SHILAP Revista de lepidopterología (1 paper)Renewable and Sustainable Energy Reviews (1 paper)Applied Energy (1 paper)
Partner nations: France Türkiye Algeria

In The Last Decade

Christophe Paoli

28 papers receiving 2.9k citations

Hit Papers

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Peers

Countries citing papers authored by Christophe Paoli

Since Specialization

Citations

This map shows the geographic impact of Christophe Paoli's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christophe Paoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Paoli more than expected).

Fields of papers citing papers by Christophe Paoli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christophe Paoli. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christophe Paoli. The network helps show where Christophe Paoli may publish in the future.

Co-authorship network

The 19 scholars most cited alongside Christophe Paoli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christophe Paoli Line = papers co-authored together Christophe Paoli links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Etat de l’art sur les réseaux de neurones artificiels appliqués à l’estimation du rayonnement solaire Journal of Renewable Energies ·Kahina Dahmani,Gilles Notton,Rabah Dizène,Christophe Paoli	2023	0
2	Time series forecasting on solar irradiation using deep learning International Conference on Electrical and Electronics Engineering ·Murat Cihan Sorkun,Christophe Paoli,Özlem Durmaz İncel	2017	22
3	On meteorological forecasts for energy management and large historical data: A first look Renewable Energy and Power Quality Journal ·Cyril Voyant,Cédric Join,Michel Fliess,Marie Laure Nivet,Marc Muselli,Christophe Paoli	2017	2
4	Machine learning methods for solar radiation forecasting: A reviewbreakdown → Renewable Energy ·Cyril Voyant,Gilles Notton,Soteris A. Kalogirou,Marie Laure Nivet,Christophe Paoli,Fabrice Motte,Alexis Fouilloy	2017	1229
5	Multilayer Perceptron approach for estimating 5-min and hourly horizontal global irradiation from exogenous meteorological data in locations without solar measurements Renewable Energy ·Kahina Dahmani,Gilles Notton,Cyril Voyant,Rabah Dizène,Marie Laure Nivet,Christophe Paoli,Wani Tamas	2016	20
6	Forecasting method for global radiation time series without training phase: Comparison with other well-known prediction methodologies Energy ·Cyril Voyant,Fabrice Motte,Alexis Fouilloy,Gilles Notton,Christophe Paoli,Marie Laure Nivet	2016	20
7	Hybridization of Air Quality Forecasting Models Using Machine Learning and Clustering: An Original Approach to Detect Pollutant Peaks Aerosol and Air Quality Research ·Wani Tamas,Gilles Notton,Christophe Paoli,Marie Laure Nivet,Cyril Voyant	2015	31
8	Meteorological time series forecasting with pruned multi-layer perceptron and two-stage Levenberg-Marquardt method International Journal of Modelling Identification and Control ·Cyril Voyant,Wani Tamas,Marie Laure Nivet,Gilles Notton,Christophe Paoli,Aurélia Balu,Marc Muselli	2015	1
9	Estimation of 5-min time-step data of tilted solar global irradiation using ANN (Artificial Neural Network) model Energy ·Kahina Dahmani,Rabah Dizène,Gilles Notton,Christophe Paoli,Cyril Voyant,Marie Laure Nivet	2014	74
10	Multi-horizon Irradiation Forecasting for Mediterranean Locations Using Time Series Models Energy Procedia ·Christophe Paoli,Cyril Voyant,Marc Muselli,Marie Laure Nivet	2014	5
11	Time series modeling and large scale global solar radiation forecasting from geostationary satellites data Solar Energy ·Cyril Voyant,Pierrick Haurant,Marc Muselli,Christophe Paoli,Marie Laure Nivet	2014	2
12	Multi-horizon solar radiation forecasting for Mediterranean locations\n using time series models arXiv (Cornell University) ·Cyril Voyant,Christophe Paoli,Marc Muselli,Marie Laure Nivet	2013	56
13	Bayesian rules and stochastic models for high accuracy prediction of solar radiation Applied Energy ·Cyril Voyant,Christophe Darras,Marc Muselli,Christophe Paoli,Marie Laure Nivet,Philippe Poggi	2013	60
14	URBAN OZONE CONCENTRATION FORECASTING WITH ARTIFICIAL NEURAL NETWORK IN CORSICA SHILAP Revista de lepidopterología ·Wani Tamas,Gilles Notton,Christophe Paoli,Cyril Voyant,Marie Laure Nivet,Aurélia Balu	2013	5
15	Estimation of Tilted Solar Irradiation Using Artificial Neural Networks Energy Procedia ·Gilles Notton,Christophe Paoli,Said Diaf	2013	15
16	Twenty four hours ahead global irradiation forecasting using multi-layer perceptron Meteorological Applications ·Cyril Voyant,Prisca Randimbivololona,Marie Laure Nivet,Christophe Paoli,Marc Muselli	2013	34
17	Estimation of hourly global solar irradiation on tilted planes from horizontal one using artificial neural networks Energy ·Gilles Notton,Christophe Paoli,Siyana Vasileva,Marie Laure Nivet,Jean-Louis Canaletti,Christian Cristofari	2012	75
18	Numerical weather prediction (NWP) and hybrid ARMA/ANN model to predict global radiation Energy ·Cyril Voyant,Marc Muselli,Christophe Paoli,Marie Laure Nivet	2012	211
19	Hybrid methodology for hourly global radiation forecasting in Mediterranean area Renewable Energy ·Cyril Voyant,Marc Muselli,Christophe Paoli,Marie Laure Nivet	2012	71
20	Forecasting of preprocessed daily solar radiation time series using neural networks Solar Energy ·Christophe Paoli,Cyril Voyant,Marc Muselli,Marie Laure Nivet	2010	285

About Christophe Paoli

Christophe Paoli is a scholar working on Renewable Energy, Sustainability and the Environment, Artificial Intelligence and Environmental Engineering, having authored 30 papers that have together received 3.0k indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (22 papers), Energy Load and Power Forecasting (19 papers), Photovoltaic System Optimization Techniques (13 papers), Solar Thermal and Photovoltaic Systems (6 papers), Air Quality Monitoring and Forecasting (4 papers), Hydrological Forecasting Using AI (3 papers), Meteorological Phenomena and Simulations (3 papers) and Grey System Theory Applications (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (1.5k citations), Artificial Intelligence (2.1k citations) and Energy Engineering and Power Technology (108 citations). Christophe Paoli has collaborated with scholars based in France, Türkiye and Algeria. Frequent co-authors include Marie Laure Nivet, Cyril Voyant, Gilles Notton, Alexis Fouilloy, Fabrice Motte, Marc Muselli, Soteris A. Kalogirou, Christophe Darras, Özlem Durmaz İncel and Murat Cihan Sorkun. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Applied Energy.

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