Biography
Cyril Voyant is a researcher specializing in solar energy and renewable energy forecasting. His work focuses on developing innovative methods to improve the modeling and forecasting of energy variables, such as solar irradiance and wind speed, by integrating statistical approaches, artificial intelligence techniques, and concepts from machine learning. His research addresses key challenges such as handling missing or noisy data, optimizing forecasting models for various time horizons, and adapting predictive tools to diverse geographic and climatic contexts. A significant portion of his work focuses on applying these methods to smart energy systems, particularly microgrids and energy management strategies, where forecast accuracy plays a critical role in balancing production and consumption. His work also explores innovative concepts, such as *transfer learning* to compensate for a lack of historical data or the multidimensional evaluation of forecast errors, with the aim of enhancing the robustness and effectiveness of the proposed solutions.
Publication(s)
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2026
Transfer learning for wind speed forecasting: A scalable approach for data-scarce environments DOI : 10.1080/15435075.2025.2574524
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2026
Stochastic coefficient of variation: Assessing the variability and forecastability of solar irradiance DOI : 10.1016/j.renene.2025.123913
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2026
Quality control of tilted solar irradiance: Asystematic and generalizable procedure DOI : 10.1016/j.renene.2025.125090
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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
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2026
A Tolerance-Based Framework for Spatio-Temporal Forecast Validation Using the γ-Index DOI : 10.1016/j.ijforecast.2026.03.002
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2026
Designing energy sharing in energy communities: Review of coordination mechanisms and internal tariff structures DOI : 10.1016/j.rser.2026.117139
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2026
Tunnel Load Simulator: A Monte Carlo Framework for Synthetic Electrical Demand Modeling of Road Tunnels DOI : 10.1016/j.softx.2026.102946
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2026
Symmetry-Constrained Forecasting of Periodically Correlated Energy Processes DOI : 10.1016/j.apm.2026.116988
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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
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2026
A computational framework for optimizing radioiodine therapy protocols in metastatic thyroid cancer DOI : 10.1038/s41598-026-56267-1
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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
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2025
Quality Check of Global Horizontal Irradiance Time Series DOI : 10.1109/EEAE65901.2025.11273350
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2025
From Trends to Insights: A Text Mining Analysis of Solar Energy Forecasting (2017–2023) DOI : 10.3390/en18195231
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2025
NICE k metrics: Unified and multidimensional framework for evaluating deterministic solar forecasting accuracy DOI : 10.1016/j.seta.2025.104588
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2025
A simple method for quickly estimating solar irradiance forecast errors DOI : 10.1016/j.solener.2025.113821
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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
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2025
On the importance of clearsky model in short-term solar radiation forecasting DOI : 10.1016/j.solener.2025.113490
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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
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2025
Microgrid Rule-Based Control Energy Management with Probabilistic Solar Forecast DOI : 10.1109/ELMA65795.2025.11083483
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2025
Computational Modeling and Trends in RAI Therapy for Thyroid Cancer: A Field with Clinical Promise DOI : 10.26717/BJSTR.2025.62.009789
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2025
A Mechanistic Dynamic Surrogate Framework for Personalized Radioactive Iodine Therapy in Metastatic Thyroid Cancer DOI : 10.3390/precisoncol1010002
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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
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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
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2023
Hybrid VMAT-3DCRT as breast cancer treatment improvement tool DOI : 10.1038/s41598-023-50538-x
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2022
Benchmarks for solar radiation time series forecasting DOI : 10.1016/j.renene.2022.04.065
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2022
Verifying operational intra-day solar forecasts from ECMWF and NOAA DOI : 10.1016/j.solener.2022.03.004
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2022
Effect of the meta parameters on a model predictive algorithm for renewable micro-grid optimal control DOI : 10.1016/j.seta.2022.102886
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2022
Complex-valued time series based solar irradiance forecast DOI : 10.1063/5.0128131
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2022
Impact of electricity tariffs and energy management strategies on PV/Battery microgrid performances DOI : 10.1016/j.renene.2022.09.042
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2022
Evaluation and Comparison of Spatial Clustering for Solar Irradiance Time Series DOI : 10.3390/app12178529
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2022
Energy Management Improvement in a PV/Battery Smart-grid by Integration of Solar Resource Forecasting DOI : 10.1109/EEAE53789.2022.9831213
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2022
Solar Radiation Forecasting for Smart Building Applications DOI : 10.1007/978-3-030-96429-0_11
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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
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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
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2021
Comparison of energy management strategies in a microgrid with photovoltaic/battery system DOI : 10.1109/ELMA52514.2021.9503044
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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
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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
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2021
A Monte Carlo based solar radiation forecastability estimation DOI : 10.1063/5.0042710
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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
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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
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2020
Trade-off between precision and resolution of a solar power forecasting algorithm for micro-grid optimal control DOI : 10.3390/en13143565
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2020
Verification of deterministic solar forecasts DOI : 10.1016/j.solener.2020.04.019
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2020
A Newly Developed Integrative Bio-Inspired Artificial Intelligence Model for Wind Speed Prediction DOI : 10.1109/ACCESS.2020.2990439
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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
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2019
Hybrid renewable power plant sizing – Graphical decision tool, sensitivity analysis and applications in Ajaccio and Tilos DOI : 10.1016/j.apenergy.2019.113601
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2019
Difficulties of solar PV integration in island electrical networks - Case study in the French islands DOI : 10.1051/e3sconf/201911106028
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2019
Forecasting of three components of solar irradiation for building applications DOI : 10.1051/e3sconf/201911105012
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2019
Some applications of ANN to solar radiation estimation and forecasting for energy applications DOI : 10.3390/app9010209
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2019
Wind, solar and battery micro-grid optimal sizing in Tilos Island DOI : 10.1016/j.egypro.2018.12.012
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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
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2019
Multi-Objective Particle Swarm optimal sizing of a renewable hybrid power plant with storage DOI : 10.1016/j.renene.2018.08.058
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2019
Designing a new data intelligence model for global solar radiation prediction: Application of multivariate modeling scheme DOI : 10.3390/en12071365
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2019
The electrical energy situation of French islands and focus on the Corsican situation DOI : 10.1016/j.renene.2018.12.090
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2018
Solar irradiation nowcasting by stochastic persistence: A new parsimonious, simple and efficient forecasting tool DOI : 10.1016/j.rser.2018.04.116
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2018
Periodic autoregressive forecasting of global solar irradiation without knowledge-based model implementation DOI : 10.1016/j.solener.2018.08.076
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2018
Prediction intervals for global solar irradiation forecasting using regression trees methods DOI : 10.1016/j.renene.2018.03.055
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2018
Solar irradiation prediction with machine learning: Forecasting models selection method depending on weather variability DOI : 10.1016/j.energy.2018.09.116
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2018
Power ramp-rate control algorithm with optimal State of Charge reference via Dynamic Programming DOI : 10.1016/j.energy.2018.02.064
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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
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2018
Forecasting of Intermittent Solar Energy Resource DOI : 10.1016/B978-0-12-812959-3.00003-4
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2018
Prediction bands for solar energy: New short-term time series forecasting techniques DOI : 10.1016/j.solener.2018.03.049
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2017
Tilos, the first autonomous renewable green island in Mediterranean: A Horizon 2020 project DOI : 10.1109/ELMA.2017.7955410
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2017
Machine learning methods for solar radiation forecasting: A review DOI : 10.1016/j.renene.2016.12.095
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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
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2017
Solar potential for building integrated solar collectors: Application in Bulgaria, Romania & France DOI : 10.1109/ELMA.2017.7955407
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2017
Uncertainties in global radiation time series forecasting using machine learning: The multilayer perceptron case DOI : 10.1016/j.energy.2017.02.098
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2017
Bounded global irradiation prediction based on multilayer perceptron and time series formalism DOI : 10.1109/ELMA.2017.7955406
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2017
Applications of ann methods for solar radiation estimation
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2016
Numerical weather prediction or stochastic modelling: An objective criterion of choice for the global radiation forecasting DOI : 10.1504/IJETP.2016.077347
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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
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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
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2016
Solar energy production: Short-term forecasting and risk management DOI : 10.1016/j.ifacol.2016.07.790
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2015
Statistical parameters as a means to a priori assess the accuracy of solar forecasting models DOI : 10.1016/j.energy.2015.07.089
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2015
On meteorological forecasts for energy management and large historical data: A first look DOI : 10.24084/repqj13.214
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2015
A benchmarking of machine learning techniques for solar radiation forecasting in an insular context DOI : 10.1016/j.solener.2014.12.014
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2015
Meteorological time series forecasting with pruned multi-layer perceptron and two-stage Levenberg-Marquardt method DOI : 10.1504/IJMIC.2015.069952
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2015
Heterogeneous transfer functions multi-layer perceptron (MLP) for meteorological time series forecasting DOI : 10.1142/S1793962315500130
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2014
Time series modeling and large scale global solar radiation forecasting from geostationary satellites data DOI : 10.1016/j.solener.2014.01.017
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2014
Twenty four hours ahead global irradiation forecasting using multi-layer perceptron DOI : 10.1002/met.1387
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2014
Meteorological time series forecasting based on MLP modelling using heterogeneous transfer functions DOI : 10.1088/1742-6596/574/1/012064
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2014
Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study DOI : 10.1109/EFEA.2014.7059971
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2014
Multi-horizon irradiation forecasting for mediterranean locations using time series models DOI : 10.1016/j.egypro.2014.10.126
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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
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2014
Time series modeling with pruned multi-layer perceptron and 2-stage damped least-squares method DOI : 10.1088/1742-6596/490/1/012040
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2014
Biological effects and equivalent doses in radiotherapy: A software solution DOI : 10.1016/j.rpor.2013.08.004
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2014
Bayesian rules and stochastic models for high accuracy prediction of solar radiation DOI : 10.1016/j.apenergy.2013.09.051
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2013
Multi-horizon solar radiation forecasting for Mediterranean locations using time series models DOI : 10.1016/j.rser.2013.07.058
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2013
Hybrid methodology for hourly global radiation forecasting in Mediterranean area DOI : 10.1016/j.renene.2012.10.049
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2012
A bayesian model committee approach to forecasting global solar radiation
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2012
PV output power fluctuations smoothing: The MYRTE platform experience DOI : 10.1016/j.ijhydene.2012.07.083
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2012
Numerical weather prediction (NWP) and hybrid ARMA/ANN model to predict global radiation DOI : 10.1016/j.energy.2012.01.006
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2011
Dosimetric uncertainties related to the elasticity of bladder and rectal walls: Adenocarcinoma of the prostate DOI : 10.1016/j.canrad.2010.12.006
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2011
Optimization of an artificial neural network dedicated to the multivariate forecasting of daily global radiation DOI : 10.1016/j.energy.2010.10.032
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2011
Therapeutic potential of atmospheric neutrons DOI : 10.1016/j.rpor.2010.11.002
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2010
Forecasting of preprocessed daily solar radiation time series using neural networks DOI : 10.1016/j.solener.2010.08.011
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2010
Use of exogenous data to improve an artificial neural networks dedicated to daily global radiation forecasting DOI : 10.1109/EEEIC.2010.5490018
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2010
Quality control in nuclear medicine; [Mise en œuvre du contrôle de qualité en médecine nucléaire] DOI : 10.1016/j.mednuc.2010.01.002
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2009
Solar radiation forecasting using ad-hoc time series preprocessing and neural networks DOI : 10.1007/978-3-642-04070-2_95
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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
PhD supervision
- 2024 Supervised and physics-informed methods for solar radiation forecasting from satellite images BANES Candice