World's Best Scientists 2026 revealed!
Florencia Almonacid

Florencia Almonacid

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
39
Citations
5034
World Ranking
4772
National Ranking
87

Overview

Florencia Almonacid is affiliated with the University of Jaén in Spain and has contributed extensively to research in the fields of engineering and energy, with a focus on electrical and electronic engineering as well as renewable energy, sustainability, and environmental engineering.

Their research primarily addresses topics related to solar cell performance optimization and photovoltaic system optimization techniques. Additional areas of work include solar radiation and photovoltaics, photovoltaic systems and sustainability, solar thermal and photovoltaic systems, chalcogenide semiconductor thin films, and energy and environment impacts.

Key recent publications by Florencia Almonacid include:

  • Modelling photovoltaic soiling losses through optical characterization, 2020, Scientific Reports
  • Monitoring photovoltaic soiling: assessment, challenges, and perspectives of current and potential strategies, 2021, iScience
  • Economics of seasonal photovoltaic soiling and cleaning optimization scenarios, 2020, Energy
  • Global energy assessment of the potential of photovoltaics for greenhouse farming, 2022, Applied Energy
  • Techno-economic potential and perspectives of floating photovoltaics in Europe, 2022, Solar Energy

Their frequent collaborators reflect a strong professional network, including Eduardo F. Férnández, Leonardo Micheli, Pedro M. Rodrigo, Antonio J. García-Loureiro, and Álvaro Fernández-Solas.

Publishing consistently, Florencia Almonacid frequently contributes to prominent venues such as Solar Energy, Renewable Energy, Solar Energy Materials and Solar Cells, Progress in Photovoltaics Research and Applications, and Energy.

Best Publications

  • A methodology based on dynamic artificial neural network for short-term forecasting of the power output of a PV generator

    F. Almonacid;P.J. Pérez-Higueras;Eduardo F. Fernández;L. Hontoria

  • Calculation of the energy provided by a PV generator. Comparative study: Conventional methods vs. artificial neural networks

    F. Almonacid;C. Rus;P. Pérez-Higueras;L. Hontoria

  • Characterisation of Si-crystalline PV modules by artificial neural networks

    F. Almonacid;C. Rus;L. Hontoria;M. Fuentes

  • Estimation of the energy of a PV generator using artificial neural network

    F. Almonacid;C. Rus;P.J. Pérez;L. Hontoria

  • Characterisation of PV CIS module by artificial neural networks. A comparative study with other methods

    F. Almonacid;C. Rus;L. Hontoria;F.J. Muñoz

  • Modelling photovoltaic soiling losses through optical characterization

    Greg P. Smestad;Thomas A. Germer;Hameed Alrashidi;Eduardo F. Fernández

  • Calculation of the cell temperature of a high concentrator photovoltaic (HCPV) module: A study and comparison of different methods

    Eduardo F. Fernández;F. Almonacid;P. Rodrigo;P. Pérez-Higueras

  • Performance and economic limits of passively cooled hybrid thermoelectric generator-concentrator photovoltaic modules

    P.M. Rodrigo;A. Valera;E.F. Fernández;F.M. Almonacid

  • Classification of methods for annual energy harvesting calculations of photovoltaic generators

    C. Rus-Casas;J.D. Aguilar;P. Rodrigo;F. Almonacid

  • Monitoring photovoltaic soiling: assessment, challenges, and perspectives of current and potential strategies.

    João Gabriel Bessa;Leonardo Micheli;Florencia Almonacid;Eduardo F. Fernández

  • Models for the electrical characterization of high concentration photovoltaic cells and modules: A review

    P. Rodrigo;E.F. Fernández;F. Almonacid;P.J. Pérez-Higueras

  • Review of techniques based on artificial neural networks for the electrical characterization of concentrator photovoltaic technology

    Florencia Almonacid;Eduardo F. Fernandez;Adel Mellit;Soteris A. Kalogirou

  • A two subcell equivalent solar cell model for III–V triple junction solar cells under spectrum and temperature variations

    Eduardo F. Fernández;Gerald Siefer;F. Almonacid;A.J. García Loureiro

  • Estimating the maximum power of a High Concentrator Photovoltaic (HCPV) module using an Artificial Neural Network

    F. Almonacid;Eduardo F. Fernández;P. Rodrigo;P.J. Pérez-Higueras

  • Review of methods for the calculation of cell temperature in high concentration photovoltaic modules for electrical characterization

    P. Rodrigo;E.F. Fernández;F. Almonacid;P.J. Pérez-Higueras

  • Efficiency and acceptance angle of High Concentrator Photovoltaic modules: Current status and indoor measurements

    Pedro Pérez-Higueras;Juan P. Ferrer-Rodríguez;Florencia Almonacid;Eduardo F. Fernández

  • Effects of spectral coupling on perovskite solar cells under diverse climatic conditions

    S Senthilarasu;Eduardo F. Fernández;Eduardo F. Fernández;Florencia Almonacid;Tapas K. Mallick

  • A simple accurate model for the calculation of shading power losses in photovoltaic generators

    P. Rodrigo;Eduardo F. Fernández;F. Almonacid;P.J. Pérez-Higueras

  • Spectral Corrections Based on Air Mass, Aerosol Optical Depth, and Precipitable Water for CPV Performance Modeling

    J. A. Caballero;E. F. Fernandez;M. Theristis;F. Almonacid

  • Optical modeling of four Fresnel-based high-CPV units

    Juan P. Ferrer-Rodríguez;Hasan Baig;Eduardo F. Fernández;Florencia Almonacid

  • A model based on artificial neuronal network for the prediction of the maximum power of a low concentration photovoltaic module for building integration

    Eduardo F. Fernández;F. Almonacid;N. Sarmah;P. Rodrigo

Frequent Co-Authors

Adel Mellit
Adel Mellit University of Jijel
David M. Grant
David M. Grant University of Nottingham
Gavin S. Walker
Gavin S. Walker University of Nottingham

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those pursuing a career in Electronics and Electrical Engineering in the USA, expanding your skill set through related online degrees can be highly beneficial. One popular pathway is a bachelor of project management, which equips students with essential leadership and organizational skills that complement technical expertise.

Many working professionals find it challenging to balance education with their careers. Fortunately, degree programs for working adults offer flexible, accelerated learning options to accommodate busy schedules without compromising quality.

For those interested in education and training roles within engineering fields, pursuing one of the best online master's for teaching can open doors to instructional design and academic careers, blending technical knowledge with effective teaching strategies.

Additionally, competency based masters degrees focus on mastery of skills over traditional coursework, providing a practical and efficient route for engineers seeking advanced qualifications aligned with industry standards.

Best Scientists Citing Florencia Almonacid

Trending Scientists

Recently Published Articles