Cyril Voyant

Research Director

Center · OIE

Email address: cyril.voyant@minesparis.psl.eu
Discipline(s): Applied Mathematics, Cancer, Energy, Thermal Sciences, Ocean, Atmosphere
Topic(s): Digital Twin, Grid/Network, Medical Image Analysis, Renewable Energy, Scenario-Modelling

Keywords

Awards & distinctions

2024 Among the 100 most downloaded oncology articles in Scientific Reports (Nature Portfolio)
2020 Top 2% Scientists worldwide (Stanford / Elsevier), since 2020
2012 City of Nice Prize (Accademia Corsa)
2009 PVSEC Award, photovoltaic systems category (Hamburg)

Team

OIE

Biography

Cyril Voyant is a Research Director at Mines Paris – PSL, in the Centre Observation, Impacts, Énergie (O.I.E.). His work focuses on forecasting renewable resources and modelling energy systems, with particular attention to solar irradiance, photovoltaic power, wind and smart energy management. His research combines statistical approaches, machine learning and artificial intelligence to improve the forecasting of weather and energy variables across time horizons. It addresses data quality and availability, uncertainty, the transferability of models between sites, learning from limited data, frugal models such as Extreme Learning Machines, and the multidimensional evaluation of forecast errors (NICE metrics, γ-index). Applications include microgrids, hybrid systems, the control of renewable production and the balance between production and consumption. His scientific activity also extends to medical physics and radiotherapy, with quantitative and AI methods for modelling biological effects and dose equivalence (LQL-Equiv), diagnosis support and clinical data analysis. He also works on metascience and scientometrics: the evaluation of scientific production, the reliability of bibliometric indicators, retractions and research integrity. Cyril Voyant is also Visiting Professor at the Faculty of Engineering, University of Kragujevac (Serbia), Associate Editor of Scientific Reports (Nature Portfolio), Editorial Board Member of Sustainability (MDPI), Working Group Expert of ETIP PV (Digital PV, Grid and Storage) and scientific coordinator of the Mines Carnot ELECTRE programme. He has been listed in the Stanford/Elsevier Top 2% Scientists since 2020. Open software (LQL-Equiv, PV_ELM_pred, Make_Stationary…) and method guides: https://cyrilvoyant.github.io/ · profile and identifiers: https://person.cyrilvoyant.com/ He regularly serves on PhD and HDR juries in France and abroad: reviewer of the PhD theses of Nicolas Chea (École polytechnique, LMD, 2026), Bassel Chokr (University of Angers, 2026) and Claudio F. Nicolosi (University of Catania, 2026); examiner of the PhD theses of Killian Pujol (Laboratoire d’Aérologie, Toulouse, 2026) and Adrian Grantham (University of South Australia, 2016); examiner of the HDR of Ghjuvan Antone Faggianelli (UMR CNRS 6134 SPE, 2026).

Publication(s)

2026
Transfer learning for wind speed forecasting: A scalable approach for data-scarce environments DOI : 10.1080/15435075.2025.2574524
2026
Stochastic coefficient of variation: Assessing the variability and forecastability of solar irradiance DOI : 10.1016/j.renene.2025.123913
2026
Quality control of tilted solar irradiance: Asystematic and generalizable procedure DOI : 10.1016/j.renene.2025.125090
2026
Short-term forecasting of energy production and consumption using extreme learning machine: A comprehensive MIMO based ELM approach DOI : 10.1016/j.apenergy.2026.127599
2026
A Tolerance-Based Framework for Spatio-Temporal Forecast Validation Using the γ-Index DOI : 10.1016/j.ijforecast.2026.03.002
2026
Designing energy sharing in energy communities: Review of coordination mechanisms and internal tariff structures DOI : 10.1016/j.rser.2026.117139
2026
Tunnel Load Simulator: A Monte Carlo Framework for Synthetic Electrical Demand Modeling of Road Tunnels DOI : 10.1016/j.softx.2026.102946
2026
Symmetry-Constrained Forecasting of Periodically Correlated Energy Processes DOI : 10.1016/j.apm.2026.116988
2026
Measurement and forecasting of the diffuse fraction of solar irradiance using a hybrid stacking model in Saudi Arabia DOI : 10.1038/s41598-026-49910-4
2026
A computational framework for optimizing radioiodine therapy protocols in metastatic thyroid cancer DOI : 10.1038/s41598-026-56267-1
2026
Science-wide mapping of institutions based on affiliated authors' impact and research integrity proxies DOI : 10.1098/rsos.260870
2026
LQL-Equiv-web: a Python library and browser application for linear-quadratic-linear dose equivalence in radiotherapy DOI : 10.1016/j.softx.2026.103085
2025
Presentation and Research Perspectives of Collective Photovoltaic Self-Consumption and Energy Communities: A New Solution to Favorize the Energy Transition in Urban Areas DOI : 10.1109/EEAE65901.2025.11273457
2025
Quality Check of Global Horizontal Irradiance Time Series DOI : 10.1109/EEAE65901.2025.11273350
2025
From Trends to Insights: A Text Mining Analysis of Solar Energy Forecasting (2017–2023) DOI : 10.3390/en18195231
2025
NICE k metrics: Unified and multidimensional framework for evaluating deterministic solar forecasting accuracy DOI : 10.1016/j.seta.2025.104588
2025
A simple method for quickly estimating solar irradiance forecast errors DOI : 10.1016/j.solener.2025.113821
2025
Comparative Study of Feature Selection Techniques for Machine Learning-Based Solar Irradiation Forecasting to Facilitate the Sustainable Development of Photovoltaics: Application to Algerian Climatic Conditions DOI : 10.3390/su17146400
2025
On the importance of clearsky model in short-term solar radiation forecasting DOI : 10.1016/j.solener.2025.113490
2025
Improving Clinical Decision-Making in Radiotherapy: A Comparative Analysis of Linear-Quadratic LQ and Linear-Quadratic-Linear LQL Dose Models DOI : 10.1016/j.clon.2025.103893
2025
Microgrid Rule-Based Control Energy Management with Probabilistic Solar Forecast DOI : 10.1109/ELMA65795.2025.11083483
2025
Computational Modeling and Trends in RAI Therapy for Thyroid Cancer: A Field with Clinical Promise DOI : 10.26717/BJSTR.2025.62.009789
2025
A Mechanistic Dynamic Surrogate Framework for Personalized Radioactive Iodine Therapy in Metastatic Thyroid Cancer DOI : 10.3390/precisoncol1010002
2024
Solar irradiance time series forecasting using auto-regressive and extreme learning methods: Influence of transfer learning and clustering DOI : 10.1016/j.apenergy.2024.123215
2024
Profitability and performance improvement of smart photovoltaic/energy storage microgrid by integration of solar production forecasting tool DOI : 10.1016/B978-0-443-15806-3.00004-8
2023
Hybrid VMAT-3DCRT as breast cancer treatment improvement tool DOI : 10.1038/s41598-023-50538-x
2022
Benchmarks for solar radiation time series forecasting DOI : 10.1016/j.renene.2022.04.065
2022
Verifying operational intra-day solar forecasts from ECMWF and NOAA DOI : 10.1016/j.solener.2022.03.004
2022
Effect of the meta parameters on a model predictive algorithm for renewable micro-grid optimal control DOI : 10.1016/j.seta.2022.102886
2022
Complex-valued time series based solar irradiance forecast DOI : 10.1063/5.0128131
2022
Impact of electricity tariffs and energy management strategies on PV/Battery microgrid performances DOI : 10.1016/j.renene.2022.09.042
2022
Evaluation and Comparison of Spatial Clustering for Solar Irradiance Time Series DOI : 10.3390/app12178529
2022
Energy Management Improvement in a PV/Battery Smart-grid by Integration of Solar Resource Forecasting DOI : 10.1109/EEAE53789.2022.9831213
2022
Solar Radiation Forecasting for Smart Building Applications DOI : 10.1007/978-3-030-96429-0_11
2022
Contribution of ordinal variables to short-term global solar irradiation forecasting for sites with low variabilities DOI : 10.1016/j.renene.2021.11.028
2021
Global solar radiation prediction over North Dakota using air temperature: Development of novel hybrid intelligence model DOI : 10.1016/j.egyr.2020.11.033
2021
Comparison of energy management strategies in a microgrid with photovoltaic/battery system DOI : 10.1109/ELMA52514.2021.9503044
2021
Total solar irradiance's effect on the performance of empirical models for estimating global solar radiation: An empirical-based review DOI : 10.1016/j.energy.2021.121486
2021
Value of deterministic day-ahead forecasts of PV generation in PV + Storage operation for the Australian electricity market DOI : 10.1016/j.solener.2021.06.011
2021
A Monte Carlo based solar radiation forecastability estimation DOI : 10.1063/5.0042710
2020
Solar irradiation prediction intervals based on Box–Cox transformation and univariate representation of periodic autoregressive model DOI : 10.1016/j.ref.2020.04.001
2020
Tilos, an autonomous Greek island thanks to a PV/Wind/Zebra battery plant and a smart Energy Management System DOI : 10.1109/EEAE49144.2020.9279099
2020
Trade-off between precision and resolution of a solar power forecasting algorithm for micro-grid optimal control DOI : 10.3390/en13143565
2020
Verification of deterministic solar forecasts DOI : 10.1016/j.solener.2020.04.019
2020
A Newly Developed Integrative Bio-Inspired Artificial Intelligence Model for Wind Speed Prediction DOI : 10.1109/ACCESS.2020.2990439
2020
Study of the performance of broadband models for clear sky conditions: The case of southern Algeria; [Etude de performance des modèles large bande pour des conditions de ciel clair: Cas de sud de l'Algérie] DOI : 10.54966/jreen.v23i2.45
2019
Hybrid renewable power plant sizing – Graphical decision tool, sensitivity analysis and applications in Ajaccio and Tilos DOI : 10.1016/j.apenergy.2019.113601
2019
Difficulties of solar PV integration in island electrical networks - Case study in the French islands DOI : 10.1051/e3sconf/201911106028
2019
Forecasting of three components of solar irradiation for building applications DOI : 10.1051/e3sconf/201911105012
2019
Some applications of ANN to solar radiation estimation and forecasting for energy applications DOI : 10.3390/app9010209
2019
Wind, solar and battery micro-grid optimal sizing in Tilos Island DOI : 10.1016/j.egypro.2018.12.012
2019
Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components DOI : 10.1016/j.renene.2018.08.044
2019
Multi-Objective Particle Swarm optimal sizing of a renewable hybrid power plant with storage DOI : 10.1016/j.renene.2018.08.058
2019
Designing a new data intelligence model for global solar radiation prediction: Application of multivariate modeling scheme DOI : 10.3390/en12071365
2019
The electrical energy situation of French islands and focus on the Corsican situation DOI : 10.1016/j.renene.2018.12.090
2018
Solar irradiation nowcasting by stochastic persistence: A new parsimonious, simple and efficient forecasting tool DOI : 10.1016/j.rser.2018.04.116
2018
Periodic autoregressive forecasting of global solar irradiation without knowledge-based model implementation DOI : 10.1016/j.solener.2018.08.076
2018
Prediction intervals for global solar irradiation forecasting using regression trees methods DOI : 10.1016/j.renene.2018.03.055
2018
Solar irradiation prediction with machine learning: Forecasting models selection method depending on weather variability DOI : 10.1016/j.energy.2018.09.116
2018
Power ramp-rate control algorithm with optimal State of Charge reference via Dynamic Programming DOI : 10.1016/j.energy.2018.02.064
2018
Intermittent and stochastic character of renewable energy sources: Consequences, cost of intermittence and benefit of forecasting DOI : 10.1016/j.rser.2018.02.007
2018
Forecasting of Intermittent Solar Energy Resource DOI : 10.1016/B978-0-12-812959-3.00003-4
2018
Prediction bands for solar energy: New short-term time series forecasting techniques DOI : 10.1016/j.solener.2018.03.049
2017
Tilos, the first autonomous renewable green island in Mediterranean: A Horizon 2020 project DOI : 10.1109/ELMA.2017.7955410
2017
Machine learning methods for solar radiation forecasting: A review DOI : 10.1016/j.renene.2016.12.095
2017
Forecasting method for global radiation time series without training phase: Comparison with other well-known prediction methodologies DOI : 10.1016/j.energy.2016.12.118
2017
Solar potential for building integrated solar collectors: Application in Bulgaria, Romania & France DOI : 10.1109/ELMA.2017.7955407
2017
Uncertainties in global radiation time series forecasting using machine learning: The multilayer perceptron case DOI : 10.1016/j.energy.2017.02.098
2017
Bounded global irradiation prediction based on multilayer perceptron and time series formalism DOI : 10.1109/ELMA.2017.7955406
2017
Applications of ann methods for solar radiation estimation
2016
Numerical weather prediction or stochastic modelling: An objective criterion of choice for the global radiation forecasting DOI : 10.1504/IJETP.2016.077347
2016
Multilayer Perceptron approach for estimating 5-min and hourly horizontal global irradiation from exogenous meteorological data in locations without solar measurements DOI : 10.1016/j.renene.2016.01.013
2016
Hybridization of air quality forecasting models using machine learning and clustering: An original approach to detect pollutant peaks DOI : 10.4209/aaqr.2015.03.0193
2016
Solar energy production: Short-term forecasting and risk management DOI : 10.1016/j.ifacol.2016.07.790
2015
Statistical parameters as a means to a priori assess the accuracy of solar forecasting models DOI : 10.1016/j.energy.2015.07.089
2015
On meteorological forecasts for energy management and large historical data: A first look DOI : 10.24084/repqj13.214
2015
A benchmarking of machine learning techniques for solar radiation forecasting in an insular context DOI : 10.1016/j.solener.2014.12.014
2015
Meteorological time series forecasting with pruned multi-layer perceptron and two-stage Levenberg-Marquardt method DOI : 10.1504/IJMIC.2015.069952
2015
Heterogeneous transfer functions multi-layer perceptron (MLP) for meteorological time series forecasting DOI : 10.1142/S1793962315500130
2014
Time series modeling and large scale global solar radiation forecasting from geostationary satellites data DOI : 10.1016/j.solener.2014.01.017
2014
Twenty four hours ahead global irradiation forecasting using multi-layer perceptron DOI : 10.1002/met.1387
2014
Meteorological time series forecasting based on MLP modelling using heterogeneous transfer functions DOI : 10.1088/1742-6596/574/1/012064
2014
Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study DOI : 10.1109/EFEA.2014.7059971
2014
Multi-horizon irradiation forecasting for mediterranean locations using time series models DOI : 10.1016/j.egypro.2014.10.126
2014
Estimation of 5-min time-step data of tilted solar global irradiation using ANN (Artificial Neural Network) model DOI : 10.1016/j.energy.2014.04.011
2014
Time series modeling with pruned multi-layer perceptron and 2-stage damped least-squares method DOI : 10.1088/1742-6596/490/1/012040
2014
Biological effects and equivalent doses in radiotherapy: A software solution DOI : 10.1016/j.rpor.2013.08.004
2014
Bayesian rules and stochastic models for high accuracy prediction of solar radiation DOI : 10.1016/j.apenergy.2013.09.051
2013
Multi-horizon solar radiation forecasting for Mediterranean locations using time series models DOI : 10.1016/j.rser.2013.07.058
2013
Hybrid methodology for hourly global radiation forecasting in Mediterranean area DOI : 10.1016/j.renene.2012.10.049
2012
A bayesian model committee approach to forecasting global solar radiation
2012
PV output power fluctuations smoothing: The MYRTE platform experience DOI : 10.1016/j.ijhydene.2012.07.083
2012
Numerical weather prediction (NWP) and hybrid ARMA/ANN model to predict global radiation DOI : 10.1016/j.energy.2012.01.006
2011
Dosimetric uncertainties related to the elasticity of bladder and rectal walls: Adenocarcinoma of the prostate DOI : 10.1016/j.canrad.2010.12.006
2011
Optimization of an artificial neural network dedicated to the multivariate forecasting of daily global radiation DOI : 10.1016/j.energy.2010.10.032
2011
Therapeutic potential of atmospheric neutrons DOI : 10.1016/j.rpor.2010.11.002
2010
Forecasting of preprocessed daily solar radiation time series using neural networks DOI : 10.1016/j.solener.2010.08.011
2010
Use of exogenous data to improve an artificial neural networks dedicated to daily global radiation forecasting DOI : 10.1109/EEEIC.2010.5490018
2010
Quality control in nuclear medicine; [Mise en œuvre du contrôle de qualité en médecine nucléaire] DOI : 10.1016/j.mednuc.2010.01.002
2009
Solar radiation forecasting using ad-hoc time series preprocessing and neural networks DOI : 10.1007/978-3-642-04070-2_95
2008
Dose comparison between three planing prostate: 3D conformational radiotherapy, coplanar arctherapy and non-coplanar arctherapy; [Comparaison dosimétrique de trois balistiques prostatiques : radiothérapie conformationnelle tridimensionnelle, arcthérapie coplanaire et arcthérapie non-coplanaire] DOI : 10.1016/j.canrad.2007.12.008

Projects

2023–2028 Fine4Cast (ANR, PEPR TASE) Participant Fine-scale, minute-to-day forecasting of renewable energy production and consumption at high geographic resolution.
2025–en cours ELECTRE (Mines Carnot programme) Scientific Director Scientific coordination of the AI-for-energy, forecasting and multi-source systems components.
2024–2027 Agreement Mines Paris – PSL / University of Corsica / CNRS (UMR SPE 6134) Participant Intermittent solar forecasting and energy-management algorithms for smart microgrids.
2022–2025 SAPHIR (ANR) Participant Sensor-augmented high-resolution weather prediction: coupling sensor data with numerical models.
2021–2024 HyLES (ANR) Participant Integration of hydrogen in weakly interconnected electricity networks.
2021–2025 INTELPOLY (COST Action) Participant Diagnosis, control and cybersecurity of polygeneration and hybrid-storage installations.
2015–2019 TILOS (H2020) Participant Optimal integration of battery storage at local scale; island demonstrator.

Teaching

UE14 — Forecasting the intermittent solar resource

2026 – en cours Lecturer

First-year course: forecasting solar irradiance one hour ahead on ten years of real Ajaccio measurements. Solar radiation, clear-sky model and clear-sky index, variability and forecastability, AR models and least squares, evaluation against persistence (NICE), Extreme Learning Machines, online learning and frugality. Course page: https://cyrilvoyant.github.io/teaching/solar-forecasting-course.html

UE45 — International internships and gap years (academic tutoring)

2026 – en cours Guest Lecturer

Academic supervision and assessment of engineering students during international internships and gap years.

Biostatistics (PASS first year, University of Corsica)

2022 – en cours Lecturer

Lectures and tutorials in biostatistics, first year of health studies.

Wave–living matter interactions (PASS first year, University of Corsica)

2020 – 2021 Lecturer

Lectures and tutorials, first year of health studies.

Industrial engineering and industrial physics (DUT GB2 IAB, Corte)

2019 – en cours Lecturer

Lectures, tutorials and labs: thermodynamics, freezing, refrigeration.

Clear-sky models and solar forecasting (Paoli Tech engineering school)

2018 – 2024 Lecturer

Labs: clear-sky models, solar forecasting with time series and ordinary least squares.

Modelling and heat transfer (Paoli Tech engineering school)

2015 – 2018 Lecturer

Labs: Matlab modelling, IR thermography, heat exchangers, PID control, thermal insulation.

General physics (CPI, University of Corsica)

2015 – 2015 Lecturer

General physics labs, integrated preparatory cycle.

Wind resource (Master SEER M1, University of Corsica)

2014 – 2015 Lecturer

Lectures, tutorials and labs on wind resource.

Patient radiation protection and positioning imaging (continuing education for health professionals)

2008 – 2012 Guest Lecturer

Continuing education for health professionals: patient radiation protection, positioning imaging.

Biophysics and physics for medicine (PCEM/PACES, Corte)

2008 – 2019 Lecturer

Tutorials: biophysics, fluid mechanics, nuclear physics, optics, electromagnetism, membranes, acoustics.

Nuclear physics (DEUG Science of Matter, University of Nîmes)

2002 – 2002 Instructor in charge

Complete nuclear physics module taught alone (lectures, tutorials, examination).

PhD supervision

2026 Hybrid approach to PV forecasting and algorithmic sobriety (Mines Paris – PSL) ABDELADIM Kamel
2024 Supervised and physics-informed methods for solar radiation forecasting from satellite images BANES Candice
2023 Solar forecasting with confidence intervals for electrical networks (University of Corsica) ASLOUNE Mohammed
2023 Mathematical modelling of iodine-131 metabolism in thyroid oncology (University of Corsica) FUSELLA Marie
2019 Comparison of machine learning methods for solar resource forecasting applied to optimised smart-grid management (University of Corsica, defended 2019) FOUILLOY Alexis