Cyril Voyant

Artificial Intelligence · 2010–2019

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #23,096 of 35,345 by trust here, #11,192 by citations
• Electrical and Electronic Engineering — 25 citations into it
• Renewable Energy, Sustainability and the Environment — 25 citations into it; #2,462 of 5,212 by trust here, #2,404 by citations

Whom Cyril Voyant trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Adel Mellit
2. Pierre Ineichen
3. Soteris A. Kalogirou
4. Dmitrii O. Logofet
5. Anil K. Jain
6. M. Muselli
7. Leo Breiman
8. Lion Hirth

Who trusts Cyril Voyant overall

1. Muhammad Naveed Akhter
2. Min Xia
3. Saad Mekhilef
4. Amir Mosavi
5. Hazlie Mokhlis

Papers from Cyril Voyant's perspective

Ordered by how strongly the researchers Cyril Voyant trusts endorse each paper. Same corpus, a different order for every researcher.

1. Impacts of large-scale Intermittent Renewable Energy Sources on electricity systems, and how these can be modeled
2. Artificial intelligence techniques for photovoltaic applications: A review
3. Capacity payments in imperfect electricity markets: Need and design
4. Balancing power and variable renewables: Three links
5. Integrating Variable Renewable Energy: Challenges and Solutions
6. Modeling Solar Radiation at the Earth’s Surface
7. The mathematics of Markov models: what Markov chains can really predict in forest successions.
8. First order Markov chain model for generating synthetic “typical days” series of global irradiation in order to design photovoltaic stand alone systems
9. Computing, Artificial Intelligence and Information Technology Neural network forecasting for seasonal and trend time series
10. Cocaine and Chest Pain

Their papers

• Machine learning methods for solar radiation forecasting: A review (2017) — 1,563 citations
• Forecasting of preprocessed daily solar radiation time series using neural networks (2010) — 383 citations
• Intermittent and stochastic character of renewable energy sources: Consequences, cost of intermittence and benefit of forecasting (2018) — 489 citations
• Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components (2019) — 357 citations