Carlos F. M. Coimbra

Artificial Intelligence · 2005–2019

A researcher in the Science corpus: 14 papers; trusts 35 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 89 citations into it; #13,981 of 35,345 by trust here, #10,566 by citations
• Renewable Energy, Sustainability and the Environment — 41 citations into it; #1,164 of 5,212 by trust here, #2,271 by citations
• Electrical and Electronic Engineering — 35 citations into it; #10,088 of 16,539 by trust here, #9,011 by citations
• Global and Planetary Change — 24 citations into it
• Modeling and Simulation — 17 citations into it; #1,130 of 2,105 by trust here, #1,128 by citations
• Atmospheric Science — 16 citations into it
• Control and Systems Engineering — 15 citations into it; #4,871 of 8,257 by trust here, #4,962 by citations
• Environmental Engineering — 13 citations into it

Whom Carlos F. M. Coimbra trusts overall

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

1. Ricardo Marquez
2. Richard Perez
3. Pierre Ineichen
4. Gordon Reikard
5. Tom T. Hartley
6. Kai Diethelm
7. Carl F. Lorenzo
8. Dafydd Evans
9. Samir Ladaci
10. Christian A. Gueymard

Who trusts Carlos F. M. Coimbra overall

1. Ricardo Marquez
2. Ali H. Bhrawy
3. Xiao-jun Yang
4. M. A. Zaky
5. G. Diaz
6. H. Pedro
7. Behrouz Parsa Moghaddam
8. S. Quesada-Ruiz
9. Farzad Khane Keshi
10. Hongguang Sun

Papers from Carlos F. M. Coimbra's perspective

Ordered by how strongly the researchers Carlos F. M. Coimbra trusts endorse each paper. Same corpus, a different order for every researcher.

1. Neural Networks for Pattern Recognition
2. Regression Shrinkage and Selection via the Lasso
3. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
4. A proof of the Gamma test (Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences)
5. Forecasting of global and direct solar irradiance using stochastic learning methods, ground experiments and the NWS database
6. Photovoltaics energy payback times, greenhouse gas emissions and external costs: 2004–early 2005 status
7. Generalized autoregressive conditional heteroskedasticity
8. Estimation of fractional sky cover from broadband shortwave radiometer measurements
9. The perceptron: a probabilistic model for information storage and organization in the brain.
10. LIBSVM: A library for support vector machines

Their papers

• History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining (2018) — 474 citations
• A variable order constitutive relation for viscoelasticity (2007) — 150 citations
• Forecasting of global and direct solar irradiance using stochastic learning methods, ground experiments and the NWS database (2011) — 293 citations
• A comprehensive dataset for the accelerated development and benchmarking of solar forecasting methods (2019) — 150 citations
• Benefits of solar forecasting for energy imbalance markets (2016) — 148 citations
• Nearest-neighbor methodology for prediction of intra-hour global horizontal and direct normal irradiances (2015) — 113 citations
• Cloud-tracking methodology for intra-hour DNI forecasting (2014) — 165 citations
• Intra-hour DNI forecasting based on cloud tracking image analysis (2013) — 384 citations
• Chapter 8 – Overview of Solar-Forecasting Methods and a Metric for Accuracy Evaluation (2013) — 139 citations
• Proposed Metric for Evaluation of Solar Forecasting Models (2013) — 162 citations
• On the variable order dynamics of the nonlinear wake caused by a sedimenting particle (2011) — 138 citations
• On the Selection and Meaning of Variable Order Operators for Dynamic Modeling (2010) — 141 citations
• Nonlinear dynamics and control of a variable order oscillator with application to the van der Pol equation (2009) — 134 citations
• The variable viscoelasticity oscillator (2005) — 151 citations