# Cyril Voyant

> French physicist specializing in solar radiation forecasting, solar energy, artificial intelligence applied to energy systems, and medical physics (radiotherapy and radiobiology)

**Wikidata**: [Q58251573](https://www.wikidata.org/wiki/Q58251573)  
**Source**: https://4ort.xyz/entity/cyril-voyant

## Summary
Cyril Voyant is a French physicist and research director specializing in solar radiation forecasting and the application of artificial intelligence to energy systems. He is a prominent researcher in the fields of solar energy and medical physics, currently affiliated with Mines ParisTech (PSL Research University).

## Biography
- **Born:** 1977
- **Nationality:** France
- **Education:** Doctorate in France from the University of Corsica Pasquale Paoli (2008–2011); previously attended Toulouse III - Paul Sabatier University (2001–2002) and the Faculty of Sciences of Montpellier (2000–2001).
- **Known for:** Primary contributions in machine learning applications for solar radiation forecasting and medical physics.
- **Employer(s):** Mines ParisTech (2024–present), University of Corsica Pasquale Paoli (2008–2024), University of La Réunion (2018–present).
- **Field(s):** Solar energy, artificial intelligence, machine learning, energy forecasting, radiobiology, and medical physics.

## Contributions
Cyril Voyant has made significant contributions to the field of renewable energy, particularly through his research on the predictability of solar resources. He is the author of the highly cited work "Machine learning methods for solar radiation forecasting: A review," which serves as a foundational text for applying AI to energy meteorology. His work often focuses on the technical refinement of forecasting models, such as his research into the "Stochastic Coefficient of Variation" for assessing solar irradiance variability and the importance of clear-sky models in short-term forecasting.

Beyond energy, Voyant has contributed to medical physics and oncology. He was involved in the development of "Hybrid VMAT-3DCRT," a tool designed to improve breast cancer treatment outcomes. His methodological research includes the use of pruned multi-layer perceptrons and two-stage Levenberg-Marquardt methods for meteorological time series, as well as complex-valued time series for solar irradiance forecasting. These works bridge the gap between advanced computer science and practical applications in physics and medicine.

## FAQs
### Q: What is Cyril Voyant's primary area of expertise?
A: Cyril Voyant is a physicist specializing in solar radiation forecasting, solar energy, and the application of artificial intelligence and machine learning to energy systems and medical physics (radiotherapy and radiobiology).

### Q: Where is Cyril Voyant currently conducting research?
A: As of 2024, he is a research director at Mines ParisTech (PSL Research University) and is based in Nice, France.

### Q: What are some of his most notable publications?
A: His notable works include a comprehensive review of machine learning methods for solar radiation forecasting, as well as research on the Stochastic Coefficient of Variation and Hybrid VMAT-3DCRT for breast cancer treatment.

## Why They Matter
Cyril Voyant’s work is instrumental in the global transition to renewable energy. By advancing the accuracy of solar radiation forecasting through machine learning, his research helps energy providers manage the inherent variability of solar power, facilitating its integration into the electrical grid. His interdisciplinary approach—applying complex computational models to both energy forecasting and medical radiotherapy—demonstrates how artificial intelligence can solve critical problems in both environmental sustainability and human health. His establishment of benchmarks for solar radiation time series has provided the scientific community with standardized methods to evaluate and improve forecasting technologies.

## Notable For
*   **Landmark Publication:** Author of "Machine learning methods for solar radiation forecasting: A review," a key academic resource in the field.
*   **Interdisciplinary Impact:** Successfully applied AI models to both renewable energy systems and medical physics (specifically radiotherapy for breast cancer).
*   **Academic Leadership:** Serves as a "directeur de recherche" (Research Director) and has held long-term positions at the University of Corsica and Mines ParisTech.
*   **Methodological Innovation:** Developed specialized forecasting techniques using complex-valued time series and pruned multi-layer perceptrons.

## Body
### Academic Background and Education
Cyril Voyant's academic career began with studies at the Faculty of Sciences of Montpellier (2000–2001) and Toulouse III - Paul Sabatier University (2001–2002). He pursued his doctoral studies at the University of Corsica Pasquale Paoli from 2008 to 2011, where he earned his doctorate under the supervision of advisor Christophe Paoli.

### Research in Solar Energy and AI
Voyant’s research focuses heavily on the intersection of computer science and physics. His work in solar energy includes:
*   **Forecasting Models:** Developing and benchmarking algorithms for short-term solar radiation prediction.
*   **Machine Learning:** Utilizing artificial neural networks, including pruned multi-layer perceptrons and Levenberg-Marquardt methods, to process meteorological data.
*   **Irradiance Variability:** Investigating the "Stochastic Coefficient of Variation" to better understand the forecastability of solar irradiance.

### Medical Physics and Radiobiology
Parallel to his energy research, Voyant is active in medical physics. His work in this sector focuses on:
*   **Radiotherapy:** Improving treatment tools like Hybrid VMAT-3DCRT for breast cancer.
*   **Radiobiology:** Studying the effects of radiation on biological systems to optimize medical outcomes.

### Professional Affiliations and Roles
Voyant has held several key positions in French academia:
*   **University of Corsica Pasquale Paoli:** Served as a researcher and professor from 2008 through 2024.
*   **University of La Réunion:** Affiliated as an employer/researcher since 2018.
*   **Mines ParisTech (PSL Research University):** Appointed in 2024, currently working in Nice, France.

## Schema Markup
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## References

1. IdRef
2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-0242-7377/education/6151761)
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-0242-7377/education/6151760)
4. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-0242-7377/education/6151759)
5. [Source](https://www.cyrilvoyant.com/)
6. [Source](https://www.researchgate.net/profile/Cyril-Voyant)
7. [Source](https://scholar.google.fr/citations?user=aUlP6agAAAAJ)
8. [Source](http://orcid.org/0000-0003-0242-7377)
9. [Source](https://orcid.org/0000-0003-0242-7377)
10. [Source](https://www.theses.fr/2011CORT0007)
11. Virtual International Authority File
12. [Source](https://cv.hal.science/cyril-voyant)
13. [HAL](https://cv.hal.science/cyril-voyant)
14. [Source](https://cyrilvoyant.github.io/cv.json)