Ricardo Marquez

Artificial Intelligence · 2011–2013

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #14,192 of 35,345 by trust here, #14,181 by citations
• Renewable Energy, Sustainability and the Environment — 14 citations into it; #1,189 of 5,212 by trust here, #2,789 by citations
• Electrical and Electronic Engineering — 10 citations into it; #9,718 of 16,539 by trust here, #11,313 by citations
• Atmospheric Science — 5 citations into it
• Global and Planetary Change — 5 citations into it

Whom Ricardo Marquez trusts overall

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

1. Richard Perez
2. Gordon Reikard
3. Carlos F. M. Coimbra
4. Dafydd Evans
5. Pierre Ineichen
6. A. Coonick
7. Antonia J. Jones
8. Hans-Georg Beyer
9. Vasilis Fthenakis
10. Viorel Badescu

Who trusts Ricardo Marquez overall

1. Carlos F. M. Coimbra
2. S. Quesada-Ruiz
3. H. Pedro
4. Yinghao Chu
5. Dazhi Yang
6. Joaquín Tovar-Pescador
7. Jan Kleissl
8. Amanpreet Kaur

Papers from Ricardo Marquez's perspective

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

1. Validation of short and medium term operational solar radiation forecasts in the US
2. A new operational model for satellite-derived irradiances: description and validation
3. A proof of the Gamma test (Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences)
4. Photovoltaics energy payback times, greenhouse gas emissions and external costs: 2004–early 2005 status
5. Neural Networks for Pattern Recognition
6. Estimation of fractional sky cover from broadband shortwave radiometer measurements
7. Forecasting of global and direct solar irradiance using stochastic learning methods, ground experiments and the NWS database
8. Irradiance Forecasting for the Power Prediction of Grid-Connected Photovoltaic Systems (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing)
9. Comparison of eight clear sky broadband models against 16 independent data banks
10. Predicting solar radiation at high resolutions: A comparison of time series forecasts

Their papers

• Forecasting of global and direct solar irradiance using stochastic learning methods, ground experiments and the NWS database (2011) — 293 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