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Pablo Eguía-Oller

Biographic Data

ID9440856
NAMEPablo Eguía-Oller
GIVEN NAMESPablo
FAMILY NAMEEguía-Oller
SIGNATUREEGUÍA-OLLER P
AFFILIATIONSUniversidade de Vigo
ORCID0000-0001-8616-9509
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Optimisation of thermal comfort and indoor air quality estimations applied to in-use buildings combining NSGA-III and XGBoost

    Open Access•Miguel Martínez-Comesaña, Pablo Eguía-Oller et al.•ARTICLE•Sustainable Cities and Society•2022

    Indoor environmental quality (IEQ) monitoring of in-use buildings has become essential in recent years due to the COVID-19 pandemic, as it significantly affects the well-being, health and productivity of building users. Nevertheless, knowing in real time the environmental conditions in large multi-zone areas is a difficult issue. Thus, the use of machine learning techniques to estimate indoor conditions has increased considerably. The aim of this…

  • Ellipsoid-based approximation method for the estimation of the actual reduced luminance coefficients of road surfaces for accurate lighting simulations

    Open Access•Ana Ogando-Martínez, Francisco Troncoso-Pastoriza et al.•ARTICLE•Sustainable Cities and Society•2020

  • Use of a numerical weather prediction model as a meteorological source for the estimation of heating demand in building thermal simulations

    Open Access•Javier López Gómez, Francisco Troncoso Pastoriza et al.•ARTICLE•Sustainable Cities and Society•2020

    Thermal simulations are a commonly used tool for energy efficiency analysis of buildings. Regional meteorological station networks are a prime source of weather data inputs, required for building thermal simulations. However, local measurements from weather stations are not always available, and when available, access to data may be expensive. This paper analysed a novel use of a numerical weather prediction mesoscale model, the Global Forecast S…

  • Generation of BIM data based on the automatic detection, identification and localization of lamps in buildings

    Open Access•Francisco Troncoso-Pastoriza, Francisco Troncoso‐Pastoriza et al.•ARTICLE•Sustainable Cities and Society•2018

No prominent works on this page.

  • Generation of BIM data based on the automatic detection, identification and localization of lamps in buildings

    Open Access•Francisco Troncoso-Pastoriza, Francisco Troncoso‐Pastoriza et al.•ARTICLE•Sustainable Cities and Society•2018

  • Ellipsoid-based approximation method for the estimation of the actual reduced luminance coefficients of road surfaces for accurate lighting simulations

    Open Access•Ana Ogando-Martínez, Francisco Troncoso-Pastoriza et al.•ARTICLE•Sustainable Cities and Society•2020

  • Use of a numerical weather prediction model as a meteorological source for the estimation of heating demand in building thermal simulations

    Open Access•Javier López Gómez, Francisco Troncoso Pastoriza et al.•ARTICLE•Sustainable Cities and Society•2020

    Thermal simulations are a commonly used tool for energy efficiency analysis of buildings. Regional meteorological station networks are a prime source of weather data inputs, required for building thermal simulations. However, local measurements from weather stations are not always available, and when available, access to data may be expensive. This paper analysed a novel use of a numerical weather prediction mesoscale model, the Global Forecast S…

  • Optimisation of thermal comfort and indoor air quality estimations applied to in-use buildings combining NSGA-III and XGBoost

    Open Access•Miguel Martínez-Comesaña, Pablo Eguía-Oller et al.•ARTICLE•Sustainable Cities and Society•2022

    Indoor environmental quality (IEQ) monitoring of in-use buildings has become essential in recent years due to the COVID-19 pandemic, as it significantly affects the well-being, health and productivity of building users. Nevertheless, knowing in real time the environmental conditions in large multi-zone areas is a difficult issue. Thus, the use of machine learning techniques to estimate indoor conditions has increased considerably. The aim of this…

Computer Science (4 works) · Building Energy and Comfort Optimization (3 works) · Engineering (3 works) · Urban Heat Island Mitigation (3 works) · Artificial Intelligence (2 works) · Computer vision (2 works) · Energy consumption (2 works) · Environmental Science (2 works) · Geography (2 works) · Meteorology (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae