Navigation

  • Skip to Content
NTNU Home NTNU Home

ntnu.edu

  • Studies
    • Master's programmes in English
    • For exchange students
    • PhD opportunities
    • All programmes of study
    • Courses
    • Financing
    • Language requirements
    • Application process
    • Academic calendar
    • FAQ
  • Research and innovation
    • NTNU research
    • Research excellence
    • Strategic research areas
    • Innovation resources
    • PhD opportunities
  • Life and housing
    • Student in Trondheim
    • Student in Gjøvik
    • Student in Ålesund
    • For researchers
    • Life and housing
  • About NTNU
    • Contact us
    • Faculties and departments
    • Libraries
    • International researcher support
    • Vacancies
    • About NTNU
    • Maps
  1. Employees

Språkvelger

Norsk

Italo Aldo Campodonico Avendano

Download press photo
Download press photo
Foto:

Italo Aldo Campodonico Avendano

PhD Candidate
Department of Ocean Operations and Civil 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
  • See all publications in Cristin

2025

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

2024

  • Campodonico Avendano, Italo Aldo; 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
  • Campodonico Avendano, Italo Aldo; 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; Campodonico Avendano, Italo Aldo; 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
  • Dadras Javan, Farzad; Campodonico Avendano, Italo Aldo; Kaboli, Ali; Najafi, Behzad; Moazami, Amin; Perotti, Sara. (2024) Electricity demand flexibility estimation in warehouses using machine learning. Elsevier
    Academic chapter/article/Conference paper
  • Kaboli, Ali; Dadras Javan, Farzad; Campodonico Avendano, Italo Aldo; 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

2023

  • Campodonico Avendano, Italo Aldo; 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; Campodonico Avendano, Italo Aldo; Najafi, Behzad; Moazami, Amin Nitter; Rinaldi, Fabio. (2023) Machine-Learning-Based Prediction of HVAC-Driven Load Flexibility in Warehouses. Energies
    Academic article
  • Javan, Farzad Dadras; Najafi, Behzad; Rinaldi, Fabio; Campodonico Avendano, Italo Aldo; Moazami, Amin Nitter. (2023) Modulating the HVAC Demand of a Warehouse to Provide Load Flexibility for Charging Electric Trucks. ECMS European Council for Modelling and Simulation
    Academic chapter/article/Conference paper
  • Campodonico Avendano, Italo Aldo; Moazami, Amin Nitter; Javan, Farzad Dadras; Najafi, Behzad. (2023) Predicting Hvac-Based Demand Flexibility in Grid-Interactive Efficient Buildings Utilizing Deep Neural Networks. ECMS European Council for Modelling and Simulation
    Academic chapter/article/Conference paper

Journal publications

  • Campodonico Avendano, Italo Aldo; 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
  • Campodonico Avendano, Italo Aldo; 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; Campodonico Avendano, Italo Aldo; 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
  • Kaboli, Ali; Dadras Javan, Farzad; Campodonico Avendano, Italo Aldo; 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
  • Campodonico Avendano, Italo Aldo; 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; Campodonico Avendano, Italo Aldo; 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

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

NTNU – Norwegian University of Science and Technology

  • For employees
  • |
  • For students
  • |
  • Intranet
  • |
  • Blackboard

Studies

  • Master's programmes in English
  • For exchange students
  • PhD opportunities
  • Courses
  • Career development
  • Continuing education
  • Application process

News

  • NTNU News
  • Vacancies

About NTNU

  • About the university
  • Libraries
  • NTNU's strategy
  • Research excellence
  • Strategic research areas
  • Organizational chart

Contact

  • Contact NTNU
  • Employees
  • Find experts
  • Press contacts
  • Researcher support
  • Maps

NTNU in three cities

  • NTNU in Gjøvik
  • NTNU in Trondheim
  • NTNU in Ålesund

About this website

  • Use of cookies
  • Accessibility statement
  • Privacy policy
  • Editorial responsibility
Facebook Instagram Linkedin Snapchat Tiktok Youtube
Sign In
NTNU logo