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Italo Aldo Campodonico Avendano

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Italo Aldo Campodonico Avendano

PhD student
Faculty of Engineering

italo.a.c.avendano@ntnu.no
+4746276294 +39 3283167949 Ankeret, A432, Ålesund
Publications

Publications

Assessing the impact of employing machine learning-based baseline load prediction pipelines with sliding-window training scheme on offered flexibility estimation for different building categories

This study is focused on assessing the impact of the performance of baseline load prediction pipelines on the estimation accuracy of the flexibility offered by different categories of buildings.
  • Chronological
  • By category
  • All publications registered in NVA

2025

  • Avendano, Italo Aldo Campodonico; Dadras, Farzad Javan; Najafi, Behzad; Aghaei, Mohammadreza; Moazami, Amin; Rinaldi, Fabio. (2025) Digital twin technology for energy flexibility and saving.
    Academic chapter/article/Conference paper

2024

  • Avendano, Italo Aldo Campodonico; Andersen, Kamilla Heimar; Erba, Silvia; Moazami, Amin; Aghaei, Mohammadreza; Najafi, Behzad. (2024) A novel framework for assessing the smartness and the smart readiness level in highly electrified non-residential buildings: A Norwegian case study. Energy and Buildings
    Academic article
  • Javan, Farzad Dadras; Avendano, Italo Aldo Campodonico; Kaboli, Ali; Najafi, Behzad; Moazami, Amin; Perotti, Sara. (2024) Electricity demand flexibility estimation in warehouses using machine learning.
    Academic chapter/article/Conference paper
  • Kaboli, Ali; Javan, Farzad Dadras; Avendano, Italo Aldo Campodonico; Najafi, Behzad; Colombo, Luigi Pietro Maria; Perotti, Sara. (2024) Just-in-Time Morning Ramp-Up Implementation in Warehouses Enabled by Machine Learning-Based Predictive Modelling: Estimation of Achievable Energy Saving through Simulation. Energies
    Academic article
  • Avendano, Italo Aldo Campodonico; Javan, Farzad Dadras; Najafi, Behzad; Moazami, Amin. (2024) Calibration and validation of physics-based data-driven models for simulating the thermal behavior of indoor spaces in an assisted living facility. E3S Web of Conferences
    Academic article
  • Javan, Farzad Dadras; Avendano, Italo Aldo Campodonico; Najafi, Behzad; Rossi, Michele; Rinaldi, Fabio. (2024) Estimating morning ramp-up duration for the cooling season in a smart building using machine learning: Determining most promising features. Sustainable Energy Technologies and Assessments
    Academic article

2023

  • Javan, Farzad Dadras; Najafi, Behzad; Rinaldi, Fabio; Avendano, Italo Aldo Campodonico; Moazami, Amin Nitter. (2023) Modulating the HVAC Demand of a Warehouse to Provide Load Flexibility for Charging Electric Trucks.
    Academic chapter/article/Conference paper
  • Avendano, Italo Aldo Campodonico; Moazami, Amin Nitter; Javan, Farzad Dadras; Najafi, Behzad. (2023) Predicting Hvac-Based Demand Flexibility in Grid-Interactive Efficient Buildings Utilizing Deep Neural Networks.
    Academic chapter/article/Conference paper
  • Avendano, Italo Aldo Campodonico; Javan, Farzad Dadras; Najafi, Behzad; Moazami, Amin Nitter; Rinaldi, Fabio. (2023) Assessing the impact of employing machine learning-based baseline load prediction pipelines with sliding-window training scheme on offered flexibility estimation for different building categories. Energy and Buildings
    Academic article
  • Javan, Farzad Dadras; Avendano, Italo Aldo Campodonico; Najafi, Behzad; Moazami, Amin Nitter; Rinaldi, Fabio. (2023) Machine-Learning-Based Prediction of HVAC-Driven Load Flexibility in Warehouses. Energies
    Academic article

Journal publications

  • Avendano, Italo Aldo Campodonico; Andersen, Kamilla Heimar; Erba, Silvia; Moazami, Amin; Aghaei, Mohammadreza; Najafi, Behzad. (2024) A novel framework for assessing the smartness and the smart readiness level in highly electrified non-residential buildings: A Norwegian case study. Energy and Buildings
    Academic article
  • Kaboli, Ali; Javan, Farzad Dadras; Avendano, Italo Aldo Campodonico; Najafi, Behzad; Colombo, Luigi Pietro Maria; Perotti, Sara. (2024) Just-in-Time Morning Ramp-Up Implementation in Warehouses Enabled by Machine Learning-Based Predictive Modelling: Estimation of Achievable Energy Saving through Simulation. Energies
    Academic article
  • Avendano, Italo Aldo Campodonico; Javan, Farzad Dadras; Najafi, Behzad; Moazami, Amin. (2024) Calibration and validation of physics-based data-driven models for simulating the thermal behavior of indoor spaces in an assisted living facility. E3S Web of Conferences
    Academic article
  • Javan, Farzad Dadras; Avendano, Italo Aldo Campodonico; Najafi, Behzad; Rossi, Michele; Rinaldi, Fabio. (2024) Estimating morning ramp-up duration for the cooling season in a smart building using machine learning: Determining most promising features. Sustainable Energy Technologies and Assessments
    Academic article
  • Avendano, Italo Aldo Campodonico; Javan, Farzad Dadras; Najafi, Behzad; Moazami, Amin Nitter; Rinaldi, Fabio. (2023) Assessing the impact of employing machine learning-based baseline load prediction pipelines with sliding-window training scheme on offered flexibility estimation for different building categories. Energy and Buildings
    Academic article
  • Javan, Farzad Dadras; Avendano, Italo Aldo Campodonico; Najafi, Behzad; Moazami, Amin Nitter; Rinaldi, Fabio. (2023) Machine-Learning-Based Prediction of HVAC-Driven Load Flexibility in Warehouses. Energies
    Academic article

Part of book/report

  • Avendano, Italo Aldo Campodonico; Dadras, Farzad Javan; Najafi, Behzad; Aghaei, Mohammadreza; Moazami, Amin; Rinaldi, Fabio. (2025) Digital twin technology for energy flexibility and saving.
    Academic chapter/article/Conference paper
  • Javan, Farzad Dadras; Avendano, Italo Aldo Campodonico; Kaboli, Ali; Najafi, Behzad; Moazami, Amin; Perotti, Sara. (2024) Electricity demand flexibility estimation in warehouses using machine learning.
    Academic chapter/article/Conference paper
  • Javan, Farzad Dadras; Najafi, Behzad; Rinaldi, Fabio; Avendano, Italo Aldo Campodonico; Moazami, Amin Nitter. (2023) Modulating the HVAC Demand of a Warehouse to Provide Load Flexibility for Charging Electric Trucks.
    Academic chapter/article/Conference paper
  • Avendano, Italo Aldo Campodonico; Moazami, Amin Nitter; Javan, Farzad Dadras; Najafi, Behzad. (2023) Predicting Hvac-Based Demand Flexibility in Grid-Interactive Efficient Buildings Utilizing Deep Neural Networks.
    Academic chapter/article/Conference paper

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