Curriculum Vitae
Curriculum Vitae
Embedded Files
Born on October 6, 1977, in Givors (France)
Professional Address
Mines Paris – PSL
O.I.E. Laboratory (Observation, Impacts, Energy)
CS 10207, Rue Claude Daunesse
06904 Sophia Antipolis Cedex, France
04 97 15 70 55
cyril.voyant@minesparis.psl.eu
https://www.oie.minesparis.psl.eu
1. Educational Background
I have a multidisciplinary academic background bridging fundamental physics, medical radiation sciences, and solar energy forecasting. My academic journey began in Narbonne and took me through Paris, Toulouse, and Montpellier, before concluding in Corte, Corsica. Driven initially by a passion for mathematics, I quickly realized that the level of abstraction in academic math did not align with my expectations. This led me to pivot toward fundamental physics, where I rediscovered my enthusiasm through applications in statistical physics, partial differential equations, and the quantification of matter. During my master’s studies, I completed a four-month research internship at the Centre d’Électronique de Montpellier, working on radiation dosimetry with access to a linear accelerator. This project, designing a dosimeter to measure both dose and damage from high-energy photons and low-energy atmospheric neutrons, introduced me to the field of medical physics, a profession that seamlessly combines theory and clinical application. Concerned by the lack of practical prospects in theoretical research alone, I pursued a more applied path by joining the DEA in Radiations and Medical Imaging in Toulouse. This was followed by professional certification in medical physics (DQPRM) from the National Institute for Nuclear Science and Technology (INSTN – Saclay), and certification in radiation protection. These qualifications allowed me to work clinically in French hospitals using ionizing radiation for therapeutic purposes. For nearly a decade, I practiced full-time in radiation oncology. Yet, I maintained a strong interest in theory, particularly in modeling and simulation. In 2009, I decided to start a PhD on a completely different topic: forecasting solar irradiance using time series modeling and artificial intelligence. For three years, I balanced hospital work by day with meteorological simulations by night, a demanding but deeply fulfilling routine. After completing my PhD in 2011, I continued clinical work but remained committed to energy systems research. Over the following years, I held various academic roles at the University of Corsica (as invited researcher and PAST) and at the University of La Réunion (as associate researcher), deepening my work in solar resource forecasting, microgrid optimization, and AI-driven environmental modeling. My formal academic degrees include:
· 2019 – Habilitation à Diriger des Recherches (HDR), University of Corsica: Numerical simulation from solar irradiance forecasting to life sciences
· 2011 – PhD in Physics, University of Corsica: Time series modeling and global solar radiation forecasting
· 2003 – DQPRM (Medical Physics Qualification), INSTN–Saclay
· 2002 – Radiation Protection Certificate (PCR), Institut Gustave Roussy
· 2002 – DEA in Radiations and Medical Imaging, University of Toulouse
· 2001 – Master’s in Fundamental Physics, University of Montpellier II
· 2000 – Bachelor’s in Physics, University of Montpellier II
· 1999 – DEUG in Mathematics and Computer Science, University of Montpellier II
· 1996 – Scientific Baccalaureate (mathematics specialization), Lycée Dr Lacroix, Narbonne
2. Awards, Distinctions & Editorial Involvement
Over the years, I have received multiple recognitions and held active roles within the scientific community, particularly in renewable energy forecasting and solar resource modeling.
Scientific Recognition:
· Since 2020, I have consistently ranked in the Stanford University list of the World’s Top 2% Most-Cited Scientists, across energy and engineering disciplines.
· In 2024, my article Hybrid VMAT-3DCRT as a Breast Cancer Treatment Improvement Tool was among the Top 100 most downloaded oncology papers in Scientific Reports (Nature Portfolio), with over 3,600 downloads.
· PVSEC 2009 (Hamburg) – Awarded for work on photovoltaic systems (selected among 1,583 candidates).
· City of Nice Prize – Awarded by the Accademia Corsa (June 2012).
Editorial and Scientific Committee Roles:
· Editorial Board Member, Turkish Journal of Forecasting (since 2017)
· Editorial Board Member, Journal of Radiology and Oncology (since 2016)
· Scientific Committee Member, International Wireless Communications & Mobile Computing Conference (IWCMC 2019 – Tangier, Morocco)
· Scientific Committee, Ege Energy Symposium & Exhibition (2016 – Turkey)
· Scientific Committee, ENVIROSENS 2015 – Rome (Remote Sensing, Pollution & Radiation)
· Scientific Committee, ICNCRE 2013 – Jijel, Algeria (Renewable Energy Section)
· Founding Member, International Web Conference on Forecasting (IWCF 2017)
· Member, International Solar Energy Society (ISES) since 2013
Peer Review Contributions: As a reviewer, I have evaluated manuscripts for more than 30 international journals, including high-impact publications such as:
· Solar Energy, Renewable Energy, Applied Energy, Energy, IEEE Transactions on Industrial Electronics, Renewable & Sustainable Energy Reviews, Journal of Cleaner Production, and Journal of the Franklin Institute
This long-standing involvement demonstrates both my commitment to scientific rigor and my deep engagement with the international research community in solar forecasting, energy systems, and environmental modeling.
3. Participation in Research Projects
Throughout my academic and applied research career, I have contributed to over ten major national and international research projects, most of them focused on solar resource forecasting, renewable energy integration, and intelligent energy systems:
Ongoing Projects (only validated projects, 3 actually in -progress):
· 2024–2027 – Solar forecasting and energy management algorithms for microgrids
Collaboration between Mines Paris-PSL, University of Corsica, and CNRS (UMR 6134 SPE)
· 2021–2024 – SAPHIR (Sensor-Augmented Weather Prediction at High Resolution)
ANR-funded, in partnership with LAERO (Toulouse) and INRIA (Paris)
· 2021–2025 – COST INTELPOLY: Intelligent Diagnosis, Control and Cyber-Security of Polygenerative and Hybrid-storage Installations (European cooperation)
· 2021–2024 – HyLES (Hydrogen Integration into Weakly Interconnected Grids)
Multi-institutional ANR project involving FEMTO-ST, University of Réunion, University of French Polynesia, and University of Corsica
Past Flagship Projects:
· MYRTE Platform (~€21M): Developed short-term and ultra-short-term solar production forecasts to optimize hydrogen storage in a renewable energy-based microgrid
· Horizon 2020 – TILOS (2014–2017): Technology Innovation for Local Scale, Optimum Integration of Battery Energy Storage – Renewable hybrid systems on the island of Tilos (EU project)
· RESINTER (PEPS CNRS): Model Predictive Control (MPC) for optimizing a renewable-based electrical grid – Application to the Paglia-Orba platform in Corsica
· ISERBATURB (AUF / Romanian Institute for Atomic Physics): Integration of Renewable Energy Systems in Urban Buildings
· Franco-Polish Cooperation (H2020 Preparation): Focused on intermittent renewable integration into microgrids, particularly for islanded or remote systems
· ERASMUS Technical University of Sofia: Set up a summer school on renewable energy for MSc students
This project participation reflects a strong focus on world challenges related to forecast uncertainty, storage optimization, and smart grid operations, particularly in insular or decentralized energy systems.
4. Supervision & Mentorship
Over the course of my academic career, I have supervised or co-supervised numerous PhD students, postdoctoral researchers, and master’s interns, mostly in the fields of solar irradiance forecasting, energy resource optimization, and machine learning applied to renewable energy.
PhD & Postdoctoral Supervision:
· 2024–2028 – Candice Banes (PhD co-supervisor, Mines Paris – PSL)
Supervised learning and physics-informed models for solar forecasting using satellite imagery
· 2024–2027 – Alan Julien (PhD co-supervisor, Mines Paris – PSL)
Production forecasting and operational optimization of large-scale PV plants
· 2023–2026 – Mohamed Asloune (PhD co-supervisor, University of Corsica)
Predictive modeling of solar resource with confidence intervals for energy management
· 2021–2022 – Luis Antonio Garcia Gutierrez (Postdoc co-supervisor, University of Corsica)
Data partitioning and solar radiation forecasting using AI techniques
· 2016–2017 – Jean-Laurent Duchaud (Postdoc, University of Corsica)
Solar forecasting and smart energy system management – TILOS project
· 2015–2016 – Fabrice Motte (Postdoc, University of Corsica)
Solar forecasting and energy control strategies – TILOS project
· 2015–2019 – Alexis Fouilloy (PhD co-supervisor, University of Corsica)
Machine learning models for global solar radiation prediction
· 2012–2015 – Kahina Dahmani (PhD co-supervisor, University of Corsica & USTHB – Algeria)
Artificial Neural Networks for solar potential estimation in Algeria
· 2012–2015 – Wani Tamas (PhD co-supervisor, University of Corsica)
Statistical forecasting of air quality and pollution episodes in Corsica
· 2017 – PhD Examiner: Adrian Grantham
Mathematical tools for maximizing solar energy utilization in electricity supply – University of South Australia
Master’s & Engineering Internships (>6 months):
I have supervised more than 15 graduate students on applied research topics in solar energy, AI, and hybrid forecasting models. Highlights include:
· 2025 – Yoan Jheelan (M1, Paris-Saclay) Multi-source energy forecasting using MIMO-MH and Extreme Learning Machines
· 2020–2021 – Louis Froidure & Alexandre Jovanovic (PaoliTech, University of Corsica) Extreme learning methods for solar resource forecasting
· 2010 – Prisca Randimbivololona (Mines ParisTech) Day-ahead forecasting of global horizontal irradiance
· 2013 – Wan Zhao (ENSAM ParisTech) AI-based wind energy forecasting
These mentorship roles reflect my long-term commitment to training young scientists in solar energy modeling, data science, and smart grid optimization, often in collaborative European projects.
5. Professional Experience
Academic and Research Positions : I began teaching at the university level in 2002, initially delivering lectures and tutorials in nuclear physics. Over the years, I progressively transitioned toward applied research and academic positions focused on renewable energy forecasting and intelligent energy systems.
· 2024–Present – Research Director (DR2), Mines Paris – PSL, O.I.E. Laboratory (Observation, Impacts, Energy), Sophia Antipolis. Focus: solar resource modeling, forecasting algorithms, and microgrid control.
· Since 2019 – PAST Lecturer-Researcher, University of Corsica (UMR CNRS 6134 – SPE Laboratory). Courses and research in solar energy forecasting, AI, and time series modeling.
· 2018–2019 – Associate Researcher, University of La Réunion (PIMENT Laboratory)
Work on predictive control and energy system optimization in island contexts.
· 2015–2018 – PAST Lecturer-Researcher, University of Corsica (UMR CNRS 6134 – SPE)
· 2013–2015 – Invited Researcher, University of Corsica (UMR CNRS 6134 – SPE)
· Since 2008 – Expert Member, French Society of Medical Physics (SFPM)
[Primarily technical, but included AI tools for treatment modeling.]
Throughout these positions, I contributed to multiple national and European projects in energy forecasting, supervised doctoral research, and developed AI-driven modeling tools for solar and wind resources. I also designed and taught graduate-level courses on clear-sky modeling, forecasting techniques, and energy system simulation.
Medical Physics Career (Brief Overview):
From 2003 to 2024, I held positions as a qualified medical physicist (DQPRM) in several hospitals in France, focusing on radiotherapy and imaging safety. Most notably:
· 2020–2024 – Head of the Medical Physics & Radiation Protection Unit, CHD Castelluccio, Ajaccio
· 2006–2020 – Senior Medical Physicist, CHD Castelluccio (Ajaccio)
· 2003–2006 – Medical Physicist, Polyclinique Saint-Roch (Montpellier)
While this experience is outside the editorial scope of Solar Energy, it shaped my approach to modeling, data reliability, and safety-critical systems. The transition to renewable energy and solar resource forecasting began in parallel to this career, with the launch of my PhD in 2009.
6. Skills & Tools
Scientific & Technical Expertise:
· Solar irradiance forecasting (short-term and ultra-short-term)
· Time series modeling (ARMA, SARIMA, MLP, ELM, LSTM, hybrid models)
· Clear-sky model calibration and evaluation
· Stochastic and statistical modeling for environmental variables
· Energy management in smart grids (forecast-based optimization, control strategies)
· Hybrid renewable systems (PV + battery + hydrogen)
· Artificial Intelligence & Data Science
· Machine learning: regression trees, neural networks, ensemble methods
· Deep learning: feed-forward and recurrent neural networks
· Clustering: K-means, hierarchical clustering, SOMs
· Transfer learning, model selection, forecasting uncertainty quantification
Programming & Software:
· Python (NumPy, pandas, scikit-learn, TensorFlow, Keras, PyTorch, matplotlib)
· MATLAB/Simulink (modeling, control systems, optimization)
· R (forecasting packages, time series)
· Radiation modeling tools: RadPro, Gate (background in medical physics)
Scientific Writing & Editorial:
· Fluent in scientific English and French
· Experienced reviewer for 30+ journals (see detailed list above)
· Excellent command of LaTeX, Zotero, and reference management tools
· Strong track record in publishing, editing, and evaluating forecasting methodologies
Scientific Output
Bellow is the number of publications submitted to international journals (in over 90% of cases) or national journals, either within the scope of section 62 (Renewable Energy, RE) or other fields, as well as conference proceedings (with or without peer-reviewed papers).
Below are the citation metrics, including h-index and i10-index, based on Google Scholar data
https://scholar.google.com/citations?view_op=search_authors&hl=fr&mauthors=cyril+voyant&btnG=
List Of Papers
List Of Papers
The metrics presented here were calculated based on the detailed list of publications provided below.
Articles in Peer-Reviewed Journals – Renewable Energy Domain (10 submitted in 2025)
Below is a selection of peer-reviewed journal articles in the field of renewable energy, with a strong focus on solar irradiance forecasting, AI-based modeling, and hybrid energy systems:
Cyril Voyant, Alan Julien, Milan Despotovic, Gilles Notton, Luis Antonio Garcia-Gutierrez, Claudio Francesco Nicolosi, Philippe Blanc, Jamie Bright.
Renewable Energy, Accepted, in-Press.
2. On the Importance of Clearsky Model in Short-Term Solar Radiation Forecasting
Cyril Voyant, Milan Despotovic, Gilles Notton, Yves-Marie Saint-Drenan, Mohammed Asloune, Luis Garcia-Gutierrez.
Solar Energy, 294, 113490, 2025
Milan Despotovic, Cyril Voyant, Luis Garcia-Gutierrez, Javier Almorox, Gilles Notton
Applied Energy, 365, 123215, 2024
G Notton, S Ouédraogo, GA Faggianelli, C Voyant, JL Duchaud
Intelligent Learning Approaches for Renewable and Sustainable Energy, 73-102
5. Evaluation and Comparison of Spatial Clustering for Solar Irradiance Time Series
L Garcia-Gutierrez, C Voyant, G Notton, J Almorox
Applied Sciences 12 (17), 8529, 2022
6. Impact of electricity tariffs and energy management strategies on PV/Battery microgrid performances
S Ouédraogo, GA Faggianelli, G Notton, JL Duchaud, C Voyant
Renewable Energy 199, 816-825, 2022
7. Complex-Valued Time Series Based Solar Irradiance Forecast
C Voyant, P Lauret, G Notton, and JL Duchaud
Journal of Renewable and Sustainable Energy, 2022
8. Benchmarks for Solar Radiation Time Series Forecasting
C Voyant, G Notton, JL Duchaud, LAG Gutiérrez, JM Bright, D Yang
Renewable Energy, 2022
JL Duchaud, GA Faggianelli, C Voyant, G Notton
Sustainable Energy Technologies and Assessments 54, 102886, 2022
K Gairaa, C Voyant, G Notton, S Benkaciali, M Guermoui
Renewable Energy, 2022
J Almorox, C Voyant, N Bailek, A Kuriqi, JA Arnaldo, 2021
Energy 236, 121486, 2021
M David, J Boland, L Cirocco, P Lauret, C Voyant
Solar Energy 224, 672-684, 2021
13. A Monte Carlo based solar radiation forecastability estimation
C Voyant, P Lauret, G Notton, JL Duchaud, A Fouilloy, M David, ...
Journal of Renewable and Sustainable Energy 13 (2), 026501, 2021
14. Solar irradiation prediction intervals based on Box–Cox transformation and univariate representation of periodic autoregressive model
C Voyant, G Notton, JL Duchaud, J Almorox, ZM Yaseen
Renewable Energy Focus 33, 43-53, 2021
15. Verification of deterministic solar forecasts
D Yang, S Alessandrini, J Antonanzas, F Antonanzas-Torres, V Badescu, HG Beyer, R Blaga, J Boland, JM Bright, CFM Coimbra, M David, A Frimane, CA Gueymard, T Hong, MJ Kay, S Killinger, J Kleissl, P Lauret, E Lorenz, D van der Meer, M Paulescu, R Perez, O Perpiñán-Lamigueiro, IM Peters, G Reikard, D Renné, YM Saint-Drenan, Y Shuai, R Urraca, H Verbois, F Vignola, C Voyant, J Zhang
Solar Energy, 2020
16. A Newly Developed Integrative Bio-Inspired Artificial Intelligence Model for Wind Speed Prediction
H Tao, SQ Salih, MK Saggi, E Dodangeh, C Voyant, N Al-Ansari, ZM Yaseen, S Shahid
IEEE Access 8, 83347-83358, 2020
S Benkaciali, G Notton, C Voyant, K Gairaa
Journal of Renewable Energies 23, 236-258, 2020
Hai Tao, Ahmed A Ewees, Ali Omran Al-Sulttani, Ufuk Beyaztas, Mohammed Majeed Hameed, Sinan Q Salih, Asaad M Armanuos, Nadhir Al-Ansari, Cyril Voyant, Shamsuddin Shahid, Zaher Mundher Yaseen
Energy Reports 7, 136-157, 2020
19. Trade-Off between Precision and Resolution of a Solar Power Forecasting Algorithm for Micro-Grid Optimal Control
JL Duchaud, C Voyant, A Fouilloy, G Notton, ML Nivet
Energies 13 (14), 3565, 2020
20. Hybrid renewable power plant sizing – Graphical decision tool, sensitivity analysis and applications in Ajaccio and Tilos
JL Duchaud, G Notton, A Fouilloy, C Voyant
Applied Energy 254, 113601, 2019
21. The electrical energy situation of French islands and focus on the Corsican situation
G Notton, JL Duchaud, ML Nivet, C Voyant, K Chalvatzis, A Fouilloy
Renewable Energy 135, 1157-1165, 2019
22. Designing a New Data Intelligence Model for Global Solar Radiation Prediction: Application of Multivariate Modeling Scheme
H Tao, I. Ebtehaj, H Bonakdari, S Heddam, C Voyant, N Al-Ansari, R Deo, ZM Yaseen
Energies 7, 1365, 2019
23. Solar Radiation Forecasting using Artificial Neural Network and Random Forest Methods: Application to Normal Beam, Horizontal Diffuse and Global Components
L Benali, G Notton, A Fouilloy, C Voyant, R Dizene
Renewable Energy 132, 871-884, 2019
24. Some Applications of ANN to Solar Radiation Estimation and Forecasting for Energy Applications
G Notton, C Voyant, A Fouilloy, JL Duchaud
Applied Sciences 9 (209), 2019
25. Multi-Objective Particle Swarm Optimal Sizing of a Renewable Hybrid Power Plant with Storage
JL Duchaud, G Notton, C Darras, C Voyant
Renewable Energy 131, 1156-1167, 2019
26. Periodic Autoregressive Forecasting of Global Solar Irradiation Without Knowledge-based Model Implementation
C Voyant, J De Gooijer, G Noton
Solar Energy 174, 121-129, 2018
27. Prediction intervals for global solar irradiation forecasting using regression trees methods
C Voyant, F Motte, G Notton, A Fouilloy, ML Nivet, JL Duchaud
Renewable Energy 126, 332-340, 2018
28. Prediction bands for solar energy: New short-term time series forecasting techniques
M Fliess, C Join, C Voyant
Solar Energy 166, 519-528, 2018
29. Intermittent and stochastic character of renewable energy sources: consequences, cost of intermittence and benefit of forecasting
G Notton, ML Nivet, C Voyant, C Darras, F Motte, C Paoli
Renewable & Sustainable Energy Reviews 87, 96-105, 2018
30. Solar irradiation nowcasting by stochastic persistence: a new parsimonious, simple and efficient forecasting tool
C Voyant, G Notton
Renewable & Sustainable Energy Reviews, 2018
31. Power ramp-rate control algorithm with optimal State of Charge reference via Dynamic Programming
JL Duchaud, G Notton, C Darras, C Voyant
Energy 149, 709-717, 2018
32. Solar irradiation forecasting with machine learning and computational methods for 3 weather variabilities
A Fouilloy, C Voyant, F Motte, G Notton, C Paoli, ML Nivet, E Guillot, ...
renewable energy, 2018
33. Machine learning methods for solar radiation forecasting: A review
C Voyant, G Notton, S Kalogirou, ML Nivet, C Paoli, F Motte, A Fouilloy
Renewable Energy 105, 569-582, 2017
34. Uncertainties in global radiation time series forecasting using machine learning: The multilayer perceptron case
C Voyant, G Notton, C Paoli, A Fouilloy, F Motte, C Darras
Energy 125, 248-257, 2017
35. Forecasting method for global radiation time series without training phase: comparison with other well-known prediction methodologies
C Voyant, F Motte, A Fouilloy, G Notton, C Paoli, ML Nivet
Energy 120, 199-208, 2017
36. Multi-layer Perceptron and Pruning
C Voyant, C Paoli, G Notton, ML Nivet, A Fouilloy, F Motte
Turkish Journal of Forecasting 1 (1), 1-6, 2017
37. Multilayer Perceptron approach for estimating 5-min and hourly horizontal global irradiation from exogenous meteorological data in locations without solar measure...
K Dahmani, G Notton, C Voyant, R Dizene, ML Nivet, C Paoli, W Tamas
renewable energy 90, 267-282, 2016
38. Statistical parameters as a means to a priori assess the accuracy of solar forecasting models
C Voyant, T Soubdhan, P Lauret, M David, M Muselli
Energy 90, 671-679, 2015
39. A benchmarking of machine learning techniques for solar radiation forecasting in an insular context
P Lauret, C Voyant, T Soubdhan, M David, P Poggi
Solar Energy, 2015
40. Twenty four hours ahead global irradiation forecasting using multi‐layer perceptron
C Voyant, P Randimbivololona, ML Nivet, C Paoli, M Muselli
Meteorological Applications 21 (3), 644-655, 2014
41. Estimation of 5-min time-step data of tilted solar global irradiation using ANN (Artificial Neural Network) model
K Dahmani, R Dizene, G Notton, C Paoli, C Voyant, ML Nivet
Energy 70, 374-381, 2014
42. Time series modeling and large scale global solar radiation forecasting from geostationary satellites data
C Voyant, P Haurant, M Muselli, C Paoli, ML Nivet
Solar Energy 102, 131-142, 2014
43. Heterogeneous transfer functions MultiLayer Perceptron (MLP) for meteorological time series forecasting
C Voyant, ML Nivet, C Paoli, M Muselli, G Notton
International Journal of Modeling, Simulation, and Scientific Computing, 2014
44. Numerical weather prediction or stochastic modeling: an objective criterion of choice for the global radiation forecasting
C Voyant, G Notton, C Paoli, ML Nivet, M Muselli, K Dahmani
International Journal of Energy Technology and Policy, 2014
45. Bayesian rules and stochastic models for high accuracy prediction of solar radiation
C Voyant, C Darras, M Muselli, C Paoli, ML Nivet, P Poggi
Applied Energy, 2014
46. Multi-horizon solar radiation forecasting for Mediterranean locations using time series models
C Voyant, C Paoli, M Muselli, ML Nivet
Renewable and Sustainable Energy Reviews 28, 44-52, 2013
47. Hybrid methodology for hourly global radiation forecasting in Mediterranean area
C Voyant, M Muselli, C Paoli, ML Nivet
Renewable Energy 53, 1-11, 2013
48. PV output power fluctuations smoothing: The MYRTE platform experience
C Darras, M Muselli, P Poggi, C Voyant, JC Hoguet, F Montignac
International Journal of hydrogen energy 37 (19), 14015-14025, 2012
49. Numerical weather prediction (NWP) and hybrid ARMA/ANN model to predict global radiation
C Voyant, M Muselli, C Paoli, ML Nivet
Energy 39 (1), 341-355, 2012
50. Optimization of an artificial neural network dedicated to the multivariate forecasting of daily global radiation
C Voyant, M Muselli, C Paoli, ML Nivet
Energy 36 (1), 348-359, 2011
51. Forecasting of preprocessed daily solar radiation time series using neural networks
C Paoli, C Voyant, M Muselli, ML Nivet
Solar Energy 84 (12), 2146-2160, 2010
Articles Published in Journals Outside the Renewable Energy Field (5 submitted in 2025)
The following publications are in peer-reviewed journals from related scientific fields, including medical physics, oncology, and environmental modeling. While not centered on renewable energy, they demonstrate expertise in statistical modeling, biomedical applications, and complex system analysis:
1. Improving Clinical Decision-Making in Radiotherapy: A Comparative Analysis and Dose Models.
Cyril Voyant, Daniel Julian, Stéphane Muraro, Véronique Bodez, Morgane Pinpin, Delphine Leschi, Rashid Oozeer, Guiddi Wided, Marie-Aimée Acquaviva, Severine Prapant, Omar Gahbiche, Noureddine Bouaouina. Clinical Oncology ; 2025
2. Hybrid VMAT-3DCRT as Breast Cancer Treatment Improvement Tool
C Voyant, M Pinpin, D Leschi, S Prapant, F Savigny, MA Acquaviva
Scientific Report 13, 2023
3. A Short Synthesis Concerning Biological Effects and Equivalent Doses in radiotherapy
C Voyant, D Julian
Journal of Radiology and Oncology, 39-45, 2017
4. Hybridization of Air Quality Forecasting Models Using Machine Learning and Clustering: An Original Approach to Detect Pollutant Peaks
W Tamas, G Notton, C Paoli, ML Nivet, C Voyant
Aerosol and Air Quality Research, 2015
5. Urban ozone concentration forecasting with artificial neural network in Corsica
W Tamas, G Notton, C Paoli, C Voyant, ML Nivet, A Balu
Mathematical Modelling in Civil Engineering 1, 33-42, 2014
6. Biological effects and equivalent doses in radiotherapy: a software solution
C Voyant, D Julian, R Roustit, K Biffi, CL Marcovici
Reports of Practical Oncology & Radiotherapy, 2013
7. Dosimetric uncertainties related to the elasticity of bladder and rectal walls: Adenocarcinoma of the prostate
C Voyant, K Biffi, D Leschi, J Briancon, C Lantieri
Cancer/Radiothérapie 15 (4), 270-278, 2011
8. Therapeutic potential of atmospheric neutrons
C Voyant, R Roustit, J Tatje, K Biffi, D Leschi, J Briançon, CL Marcovici
Reports of Practical Oncology & Radiotherapy 16 (1), 21-31, 2011
9. Mise en oeuvre du contrôle de qualité d'une caméra TEMP-TDM
C Voyant
Médecine Nucléaire, 01.002, 2010
10. Comparaison dosimétrique de trois balistiques prostatiques: radiothérapie conformationnelle tridimensionnelle, arcthérapie coplanaire et arcthérapie non-coplanaire
C Voyant, A Baadj, K Biffi, D Leschi, C Lantieri
Cancer/Radiothérapie 12 (5), 343-351, 2010
Book Chapters
Below is a list of book chapters I have authored or co-authored, primarily in the fields of solar forecasting, smart energy systems, and artificial intelligence applications in renewable energy:
Gilles Notton, Sarah Ouédraogo, Ghjuvan Antone Faggianelli, Cyril Voyant, Jean Laurent Duchaud
Intelligent Learning Approaches for Renewable and Sustainable Energy, 2024
2. Forecasting of Intermittent Solar Energy Resource
G Notton, C Voyant
Advances in Renewable Energies and Power Technologies 1, 77-114, 2018
3. Application of ANN Methods for Solar Radiation Estimation
G Notton, K Dahmani, R Dizene, ML Nivet, C Voyant, C Paoli
Artificial Neural Networks: New Research, chapter 5, 2016
Conference Proceedings and Abstract-Selected Presentations
1. Developing a Digital Decision-Support Tool for Personalized treatment of Metastatic Thyroid Cancer
M Fusella Giuntini, C Voyant, D Barbolosi, D Taieb
Cancer Research 2025, Singapore
2. The Linear Quadratic Model: Theoretical Overview and Application Examples
C Voyant, D Julian
27th National Cancer and Radiotherapy Congress, Sousse, Tunisie.
C Voyant, M Pinpin, D Leschi, S Prapant, F Savigny, MA Acquaviva
The 16 th Annual World Cancer Congress-2024, Dublin, Ireland
4. A New Approach to Solar Irradiance Forecasting: Using Complex-Valued Time Series
C Voyant, G Notton, M Asloune, JL Duchaud, G Faggianelli
11th International Conference on Energy, Sustainability and Climate Crisis (ESCC 2024 at Corfu, Greece)
Gilles Notton, Ghjuvan Antone Faggianelli, Jean-Laurent Duchaud, Cyril Voyant, Sarah Ouedraogo, Fabien Bouisset
2022 8th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE)
6. Solar Radiation Forecasting for Smart Building Applications
G Notton, GA Faggianelli, C Voyant, S Ouedraogo, G Pigelet, JL Duchaud
Computational Intelligence Techniques for Green Smart Cities, 229-248
7. Comparison of Energy Management Strategies in a Microgrid with Photovoltaic/Battery System
S Ouedraogo, GA Faggianelli, G Pigelet, JL Duchaud, C Voyant, G Notton
2021 17th Conference on Electrical Machines, Drives and Power Systems (ELMA)
C Voyant, G Notton, JL Duchaud
2021 17th Conference on Electrical Machines, Drives and Power Systems (ELMA)
G Notton, ML Nivet, C Voyant, JL Duchaud, A Fouilloy, D Zafirakis, ...
2020 7th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE)
10. Forecasting of three components of solar irradiation for building applications
G Notton, C Voyant, A Fouilloy, JL Duchaud, ML Nivet
Clima 2019 in Bucharest, Romania
11. Difficulties of solar PV integration in island electrical networks – case study in the French islands
G Notton, C Voyant, JL Duchaud
Clima 2019 in Bucharest, Romania
12. Wind, solar and battery micro-grid optimal sizing in Tilos Island
JL Duchaud, G Notton, A Fouilloy, C Voyant
REM2018, Renewable Energy Integration with Mini/Microgrid in Rhodes, Greece
13. Machine Learning Methods for Solar Irradiation Forecasting: A Comparison in a Mediterranean Site
A Fouilloy, C Voyant, G Notton, ML Nivet, JL Duchaud
13th SWEDES Conference, Palermo, Italy
14. Optimal Sizing of a Renewable Hybrid Power Plant with Storage
JL Duchaud, G Notton, C Darras, C Voyant
International Conference on Energy Engineering and Smart Grids ESG, Cambridge 2018
15. Machine Learning Methods for Solar Irradiation Forecasting: A Comparison in a Mediterranean Site
A Fouilloy, C Voyant, G Notton, ML Nivet, JL Duchaud
International Conference on Energy Engineering and Smart Grids ESG, Cambridge 2018
16. Overview of the energy situation of French islands and focus on the Corsican situation
G Notton, JL Duchaud, ML Nivet, C Voyant, A Fouilloy
Clean Energy in European Islands, Athènes, Greece, 2018
17. Global Irradiation Interval Forecasts Based on Artificial Neural Network
A Fouilloy, C Voyant, G Notton, ML Nivet, JL Motte, Fabrice , Duchaud, ...
1st International Web Conference on Forecasting – IWCF'2017
18. Bounded global irradiation prediction based on multilayer perceptron and time series formalism
C Voyant, G Notton, ML Nivet, F Motte, A Fouilloy, C Paoli
Electrical Machines, Drives and Power Systems (ELMA), 2017 15th, 2017
19. Solar potential for building integrated solar collectors: Application in Bulgaria, romania & France
G Notton, E Rebillout, C Voyant, A Damian, R Frunzulica, V Lazarov, ...
Electrical Machines, Drives and Power Systems (ELMA), 2017, 2017
Kalman filtering and classical time series tools for global irradiation forecasting
C Voyant, F Motte, A Fouilloy, G Notton, ML Nivet, C Paoli
ESCC2017 Santorini (Greece) "4th International Conference on Energy, 2017
20. Tilos, the first autonomous renewable green island in Mediterranean: A Horizon 2020 project
G Notton, D Zafirakis, ML Nivet, F Motte, C Voyant, A Fouilloy
15-th INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES, DRIVES (Sofia, Bulgaria), 2017
21. Solar energy production: Short-term forecasting and risk
management
C Join, M Fliess, C Voyant, C F
8th IFAC Conference on Manufacturing Modelling Management & Control, 2016
22. A New Method for the Benchmarking of Irradiance Predictions
A Guérin de Montgareuil, L Bellemare, R Blondou, M David, T Hedde,
EU PVSEC June 2016 Munich, 2016
23. La radiobiologie dans les services de radiothérapie
C Voyant, D Julian
Atelier national de radiothérapie pédiatrique, 23 - 26 Septembre 2015
24. Influence of global solar radiation typical days on forecasting models error
T Soubdhan, C Voyant, P Lauret
The Third Southern African Solar Energy Conference (SASEC2015), 2015
25. Estimating short time solar irradiation on a tilted plane from horizontal one using Artificial Neural Networks
G Notton, K Dahmani, R Dizene, C Voyant, ML Nivet, C Paoli
Conference on Energy Efficiency and Agricultural Engineering, pp. 380-392, 2015
26. On meteorological forecasts for energy management and large historical data: A first look
C Voyant, C Join, M Fliess, ML Nivet, M Muselli, C Paoli
International Conference on Renewable Energies and Power Quality, (ICREPQ'15) 13, 2015
27. Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study
C Join, C Voyant, M Fliess, M Muselli, ML Nivet, C Paoli, F Chaxel
3rd International Symposium on Environment-Friendly Energies and …, 2014
28. Meteorological time series forecasting with pruned multi-layer perceptron and 2-stage Levenberg-Marquardt method
C Voyant, WW Tamas, ML Nivet, G Notton, C Paoli, A Balu, M Muselli, International Journal of Modelling, Identification and Control, 2 2014
29. Meteorological time series forecasting based on MLP modelling using heterogeneous transfer functions
C Voyant, ML Nivet, C Paoli, M Muselli, G Notton
International conference on mathematical modeling in physical sciences, 2014
30. Gobal solar radiation time series modeling from geostationary satellites data
C Voyant
Colloque Martinique Energie et Environnement 2014, 2014 Schoeler, 2014
31. Multi-horizon Irradiation Forecasting Using Time Series Models
C Paoli, C Voyant, M Muselli, ML Nivet
2013 ISES Solar World Congress, 2013
32. Clear sky models assessment for an operational PV production forecasting solution
S Cros, O Liandrat, N Sébastien, N Schmutz, C Voyant
28th European Photovoltaic Solar Energy Conference and Exhibition, 5BV. 4.69, 2013
33. Hourly global radiation prediction from geostationary satellite data
P Haurant, C Voyant, M Muselli, ML Nivet, C Paoli, EU PVSEC 2013, 3 2013
34. The global radiation forecasting based on NWP or stochastic modeling: an objective criterion of choice
C Voyant, D Kahina, G Notton, C Paoli, ML Nivet, M Muselli, P Haurant
The first International Conference on Nanoelectronics, Communications, 2013
35. Estimation of 5-min solar global irradiation on tilted planes by ANN method in Bouzareah, Algeria
K Dahmani, G Notton, R Dizene, C Paoli, C Voyant, ML Nivet, K Karouk
The first International Conference on Nanoelectronics, Communications, 2013
36. Time series modeling with pruned multi-layer perceptron and 2-stage damped least-squares method
C Voyant, WW Tamas, C Paoli, A Balu, M Muselli, ML Nivet, G Notton
International conference on mathematical modeling in physical sciences, 2013
37. Imagerie de positionnement et « Record and Verify »
C Voyant
Formation continue des MERM: "De radiothérapie à l’imagerie de, 2013
38. Action CHANGE : Changements globaux en milieu insulaire
G Pergent, JF Santucci, L Capocchi, F Casabianca, F Charrier, F Huneau, ...
Journée de la pluridisciplinarité en recherche organisée par le Fédération, 2013
39. L’intelligence artificielle au service de la prédiction de phénomènes aléatoires : applications à l’environnement et aux énergies renouvelables
A Balu, C Paoli, G Notton, ML Nivet, W Tamas, C Voyant
Journée de la pluridisciplinarité en recherche organisée par le Fédération, 2013
40. Comparisons of clear-sky models performance for a photovoltaic energy production forecasting tool
S Cros, O Liandrat, C Voyant, N Schmutz
European Meteorological society (EMS2013), 2013
41. Prédiction de concentration horaire d'ozone et de PM10 avec des Réseaux de Neurones Artificiels
W Tamas, G Notton, C Paoli, C Voyant, ML Nivet,
Séminaire Charmex SOP1, 2013
42. A Bayesian Model Committee Approach to Forecasting Global Solar Radiation
P Lauret, A Rodler, M Muselli, M David, H Diagne, C Voyant
World Renewable Energy Forum 2012. Denver Colorado, USA, 3 2012
43. Etude dosimétrique rétrospective sur l’a pport du couple tomolymphoscintigraphie – TDM dans la radiothérapie externe des aires ganglionnaires mammaires
C Voyant, F Fideli, B Dedienne, J Laurin, S de Simone, K Biffi, C Lantieri
50° colloque de médecine nucléaire de langue Française , 2012
44. Atmospheric Pollutants concentration forecasting in Corsica
W Tamas, G Notton, C Paoli, JL Savelli, ML Nivet, C Voyant, A Balu
3nd Charmex International Workshop, 2012
45. Problématique de la prédiction du rayonnement global et de l’énergie PV : Approche connexionniste
C Voyant, A Rodler, M Muselli, C Paoli, ML Nivet
Journée des doctorants , 2011. Corte (France), 2011
46. Prévision de la ressource solaire pour le pilotage des moyens de production
C Voyant, A Rodler, M Muselli, C Paoli, ML Nivet
Inauguration de l’Antenne de l’INES : INSEME 2011. Ajaccio ( France ), 2011
47. Use of exogenous data to improve an artificial neural networks dedicated to daily global radiation forecasting
C Paoli, C Voyant, M Muselli, ML Nivet
Environment and Electrical Engineering (EEEIC), 2010 9th International, 2011
48. Contrôle de qualité d’une gamma camera TEMP - TDM selon les recommandations de l’AFSSAPS
C Voyant, K Biffi
ACOMEN, 2010 ; Ajaccio (France), 2010
49. Optimization of an artificial neural network (ANN) dedicated to the daily global radiation and PV plant production forecasting using exogenous data
C Voyant, M Muselli, C Paoli, ML Nivet
25th EU PVSEC 2010. Valence, Espagne. 2010
50. Solar radiation forecasting using ad-hoc time series preprocessing and neural networks
C Paoli, C Voyant, M Muselli, ML Nivet
International Conference on Intelligent Computing, 898-907, 2009
51. Predictability of PV power grid performance on insular sites without weather stations: use of artificial neural networks
C Voyant, M Muselli, C Paoli, ML Nivet, P Poggi, P Haurant
24th PVSEC 2009, Hambourg, 2009
52. Property of a cerium and samarium codoped strontium sulfide for the neutron detection
K Idri, C Voyant
Journées Nationales du Réseau Doctoral en Microélectronique, 2003
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