World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
50
Citations
10629
World Ranking
4041
National Ranking
1165

Overview

Carlos F.M. Coimbra is affiliated with the University of California, San Diego in the United States. Their research primarily spans the field of Engineering, with a particular focus on Artificial Intelligence, Renewable Energy, Sustainability and the Environment, Computational Mechanics, Electrical and Electronic Engineering, and Global and Planetary Change.

The scientist's work covers key topics including Solar Radiation and Photovoltaics, Photovoltaic System Optimization Techniques, Solar Thermal and Photovoltaic Systems, Atmospheric Aerosols and Clouds, Fluid Dynamics and Thin Films, Energy Load and Power Forecasting, and Remote Sensing in Agriculture.

Notable recent papers include:

  • Verification of deterministic solar forecasts, 2020, Solar Energy
  • Intra-hour irradiance forecasting techniques for solar power integration: A review, 2021, iScience
  • Cloud detection using convolutional neural networks on remote sensing images, 2021, Solar Energy
  • A network of sky imagers for spatial solar irradiance assessment, 2022, Renewable Energy
  • Predictability and forecast skill of solar irradiance over the contiguous United States, 2023, Renewable and Sustainable Energy Reviews

Frequent co-authors in their work include Mengying Li, Hugo T.C. Pedro, Dazhi Yang, Lysha M. Matsunobu, and Omar AlAli. Collaborative research with these individuals highlights interdisciplinary engagements within their domains.

The scientist has published extensively in several venues such as:

  • Journal of Renewable and Sustainable Energy
  • Solar Energy
  • Renewable Energy
  • International Journal of Heat and Mass Transfer
  • Physics of Fluids

The concentration on solar energy and its forecasting is reflected through multiple published studies examining solar irradiance predictability, cloud detection via convolutional neural networks, and solar forecast verification techniques.

Research areas like computational mechanics and fluid dynamics suggest a foundation in modeling and numerical methods applied toward energy and environmental systems. Additionally, involvement in topics concerning atmospheric aerosols and remote sensing indicates interdisciplinary work connecting environmental monitoring with energy applications.

Best Publications

  • Solar forecasting methods for renewable energy integration

    Rich H. Inman;Hugo T.C. Pedro;Carlos F.M. Coimbra

  • Assessment of forecasting techniques for solar power production with no exogenous inputs

    Hugo T.C. Pedro;Carlos F.M. Coimbra

  • Mechanics with variable-order differential operators

    C.F.M. Coimbra

  • History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining

    Dazhi Yang;Jan Kleissl;Christian A. Gueymard;Hugo T.C. Pedro

  • Intra-hour DNI forecasting based on cloud tracking image analysis

    Ricardo Marquez;Carlos F.M. Coimbra

  • Forecasting of global and direct solar irradiance using stochastic learning methods, ground experiments and the NWS database

    Ricardo Marquez;Carlos F.M. Coimbra

  • Fundamental aspects of modeling turbulent particle dispersion in dilute flows

    J.S. Shirolkar;C.F.M. Coimbra;M. Queiroz McQuay

  • Short-term reforecasting of power output from a 48 MWe solar PV plant

    Yinghao Chu;Bryan Urquhart;Seyyed M.I. Gohari;Hugo T.C. Pedro

  • Day-ahead forecasting of solar power output from photovoltaic plants in the American Southwest

    David P. Larson;Lukas Nonnenmacher;Carlos F.M. Coimbra

  • Mechanics with variable‐order differential operators

    Unknown

  • Hybrid solar forecasting method uses satellite imaging and ground telemetry as inputs to ANNs

    Ricardo Marquez;Hugo T.C. Pedro;Carlos F.M. Coimbra

  • Hybrid intra-hour DNI forecasts with sky image processing enhanced by stochastic learning

    Yinghao Chu;Hugo T.C. Pedro;Carlos F.M. Coimbra

  • Verification of deterministic solar forecasts

    Dazhi Yang;Stefano Alessandrini;Javier Antonanzas;Fernando Antonanzas-Torres

  • Proposed Metric for Evaluation of Solar Forecasting Models

    Ricardo Marquez;Carlos F. M. Coimbra

  • Overview of Solar-Forecasting Methods and a Metric for Accuracy Evaluation

    Carlos F.M. Coimbra;Jan Kleissl;Ricardo Marquez

  • Cloud-tracking methodology for intra-hour DNI forecasting

    S. Quesada-Ruiz;Y. Chu;J. Tovar-Pescador;H.T.C. Pedro

  • Benefits of solar forecasting for energy imbalance markets

    Amanpreet Kaur;Lukas Nonnenmacher;Hugo T.C. Pedro;Carlos F.M. Coimbra

  • On the Selection and Meaning of Variable Order Operators for Dynamic Modeling

    Lynnette E. S. Ramirez;Carlos F. M. Coimbra

  • Nonlinear dynamics and control of a variable order oscillator with application to the van der Pol equation

    G. Diaz;C. F. M. Coimbra

  • A variable order constitutive relation for viscoelasticity

    L.E.S. Ramirez;C.F.M. Coimbra

  • On the variable order dynamics of the nonlinear wake caused by a sedimenting particle

    Lynnette E.S. Ramirez;Carlos F.M. Coimbra

  • Real-time forecasting of solar irradiance ramps with smart image processing

    Yinghao Chu;Hugo T.C. Pedro;Mengying Li;Carlos F.M. Coimbra

Frequent Co-Authors

Jan Kleissl
Jan Kleissl University of California, San Diego
Maria da Graça Carvalho
Maria da Graça Carvalho Instituto Superior Técnico
Guangya Yang
Guangya Yang Technical University of Denmark
Dazhi Yang
Dazhi Yang Harbin Institute of Technology
Christian A. Gueymard
Christian A. Gueymard University of Central Florida
Richard Perez
Richard Perez University at Albany, State University of New York
Jie Zhang
Jie Zhang The University of Texas at Dallas
Viorel Badescu
Viorel Badescu Polytechnic University of Bucharest
John Boland
John Boland University of South Australia
Wen Yang
Wen Yang Beijing Institute of Technology

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