Publicacións (87) Publicacións de PABLO EGUIA OLLER

2024

  1. Definition, estimation and decoupling of the overall uncertainty of the outdoor air temperature measurement surrounding a building envelope

    Journal of Building Physics

  2. Measurement uncertainty and behaviour analysis of indoor air quality variables of thermal zones of an in-use mechanically ventilated building

    Building and Environment, Vol. 254

  3. NSGA-II based short-term building energy management using optimal LSTM-MLP forecasts

    International Journal of Electrical Power and Energy Systems, Vol. 159

2023

  1. Intelligent energy storage management trade-off system applied to Deep Learning predictions

    Journal of Energy Storage, Vol. 61

  2. Load Forecasting with Machine Learning and Deep Learning Methods

    Applied Sciences (Switzerland), Vol. 13, Núm. 13

  3. Optimisation of LSTM neural networks with NSGA-II and FDA for PV installations characterisation

    Engineering Applications of Artificial Intelligence, Vol. 126

2022

  1. IoT-based platform for automated IEQ spatio-temporal analysis in buildings using machine learning techniques

    Automation in Construction, Vol. 139

  2. Machine Learning and Deep Learning Models Applied to Photovoltaic Production Forecasting

    Applied Sciences (Switzerland), Vol. 12, Núm. 17

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

    Sustainable Cities and Society, Vol. 80

  4. Overall uncertainty analysis of zonal indoor air temperature measurement in an in-use office building

    Building and Environment, Vol. 219

  5. Reliability of Using Meteorological Data to Estimate Upwelling Events on the Galician Coast

    Water (Switzerland), Vol. 14, Núm. 21

2021

  1. Empirical validation of a multizone building model coupled with an air flow network under complex realistic situations

    Energy and Buildings, Vol. 249

  2. Estimation of heat loss coefficient and thermal demands of in-use building by capturing thermal inertia using lstm neural networks

    Energies, Vol. 14, Núm. 16

  3. Feasibility of different weather data sources applied to building indoor temperature estimation using LSTM neural networks

    Sustainability (Switzerland), Vol. 13, Núm. 24

  4. Optimization of the electrical demand of an existing building with storage management through machine learning techniques

    Applied Sciences (Switzerland), Vol. 11, Núm. 17

  5. Simulation and validation of indoor temperatures and relative humidity in multi-zone buildings under occupancy conditions using multi-objective calibration

    Building and Environment, Vol. 200

2020

  1. A functional data analysis for assessing the impact of a retrofitting in the energy performance of a building

    Mathematics, Vol. 8, Núm. 4

  2. A performance comparison of multi-objective optimization-based approaches for calibrating white-box building energy models.

    Energy and Buildings, Vol. 216

  3. Application of functional data analysis and FTIR-ATR spectroscopy to discriminatewine spirits ageing technologies

    Mathematics, Vol. 8, Núm. 6

  4. Assessing the energy demand reduction in a surgical suite by optimizing the HVAC operation during off-use periods

    Applied Sciences (Switzerland), Vol. 10, Núm. 7