Skip to content
Back Home
  • About
    • The mission
    • Contacts
    • People who are involved
    • External Advisory Board
  • News
  • Events
    • DATI, AI E ROBOTICA @POLITO
    • Be Aware! Keep Calm and read your privacy policies
    • 2nd Workshop on AI in Networks and Distributed Systems
  • Workshops
    • Seminars
      • Toposes as ‘bridges’ for mathematics and artificial intelligence
      • Be Aware! Keep Calm and read your privacy policies
      • Is Natural Language Processing the Holy Grail of Artificial Intelligence?
    • SmartTalks
  • Education
    • Courses for PhD students
    • Your Privacy on Websites: How do they use browser permissions?
    • PhD Course: Topological Data Analysis
    • PhD Course: Data Science for Networks
  • Research
    • Publications
    • Current PhD
    • Projects
    • Open Datasets & Libraries
    • Topics
  • Open Positions
    • open position – PhD student
    • open position – Assistant Professor with time contract (RTD-A)
    • open position – PostDoc researchers
    • Open position – Technologist
  • BigData Cluster
    • Computing Facilities
    • Request BigData@Polito Account
    • BigData@Polito Access Instructions
    • Run Jobs with Custom Packages
  • Private Area
  • Search
Back Home
  • About
    • The mission
    • Contacts
    • People who are involved
    • External Advisory Board
  • News
  • Events
    • DATI, AI E ROBOTICA @POLITO
    • Be Aware! Keep Calm and read your privacy policies
    • 2nd Workshop on AI in Networks and Distributed Systems
  • Workshops
    • Seminars
      • Toposes as ‘bridges’ for mathematics and artificial intelligence
      • Be Aware! Keep Calm and read your privacy policies
      • Is Natural Language Processing the Holy Grail of Artificial Intelligence?
    • SmartTalks
  • Education
    • Courses for PhD students
    • Your Privacy on Websites: How do they use browser permissions?
    • PhD Course: Topological Data Analysis
    • PhD Course: Data Science for Networks
  • Research
    • Publications
    • Current PhD
    • Projects
    • Open Datasets & Libraries
    • Topics
  • Open Positions
    • open position – PhD student
    • open position – Assistant Professor with time contract (RTD-A)
    • open position – PostDoc researchers
    • Open position – Technologist
  • BigData Cluster
    • Computing Facilities
    • Request BigData@Polito Account
    • BigData@Polito Access Instructions
    • Run Jobs with Custom Packages
  • Private Area
Home » Publications » Design optimization of renewable energy systems for NZEBs based on deep residual learning

Design optimization of renewable energy systems for NZEBs based on deep residual learning

Maria Ferrara, Francesco Della Santa, Matteo Bilardo, Alessandro De Gregorio, Antonio Mastropietro, Ulderico Fugacci, Francesco Vaccarino, Enrico Fabrizio (2021) Design optimization of renewable energy systems for NZEBs based on deep residual learning, In: RENEWABLE ENERGY, pp. 590-605, ISSN: 0960-1481

Post navigation

  • Previous post Deep Learning Methods for Synthetic Aperture Radar Image Despeckling: An Overview of Trends and Perspectives
  • Back to post list
  • Next post Experimental Imaging Issues of a 3-D Microwave Brain Scanner

Collaborations

© 2021 SmartData@PoliTO – All rights reserved

Homepage - Privacy - Cookie Policy - Contacts

This site uses third-party cookies: by using the site, you consent to the use of cookies. For more information view the cookie policy.