Christophe Paoli
Artificial Intelligence · 2010–2018
A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it
- Electrical and Electronic Engineering — 21 citations into it
- Renewable Energy, Sustainability and the Environment — 18 citations into it
Whom Christophe Paoli trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Adel Mellit
- Pierre Ineichen
- Soteris A. Kalogirou
- Dmitrii O. Logofet
- Anil K. Jain
- M. Muselli
- R. Mueller
- Viorel Badescu
- Jianchang Mao
Who trusts Christophe Paoli overall
Papers from Christophe Paoli's perspective
Ordered by how strongly the researchers Christophe Paoli trusts endorse each paper. Same corpus, a different order for every researcher.
- Rethinking satellite-based solar irradiance modelling: The SOLIS clear-sky module
- Artificial intelligence techniques for photovoltaic applications: A review
- Modeling Solar Radiation at the Earth’s Surface
- The mathematics of Markov models: what Markov chains can really predict in forest successions.
- First order Markov chain model for generating synthetic “typical days” series of global irradiation in order to design photovoltaic stand alone systems
- Computing, Artificial Intelligence and Information Technology Neural network forecasting for seasonal and trend time series
- Cocaine and Chest Pain
- Artificial neural networks in renewable energy systems applications: a review
- A broadband simplified version of the Solis clear sky model
- Impacts of large-scale Intermittent Renewable Energy Sources on electricity systems, and how these can be modeled
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