Skip to content
Back Home
  • About
    • The mission
    • Contacts
    • People who are involved
    • External Advisory Board
  • News
  • Events
    • Reading (&) Machine: evento di presentazione
    • 8th SmartData@PoliTO Workshop – Present and Future Directions
    • DATI, AI E ROBOTICA @POLITO
  • Workshops
    • Seminars
      • Strengthening the IoT Ecosystem: Privacy Preserving IoT Security Management
      • Accelerated Deep Learning via Efficient, Compressed and Managed Communication
      • Toposes as ‘bridges’ for mathematics and artificial intelligence
    • SmartTalks
  • Education
    • Courses for PhD students
    • PhD Course: Topological Data Analysis
    • PhD Course: Data Science for Networks
    • Corporate training on Digital Transformation
  • 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
    • Reading (&) Machine: evento di presentazione
    • 8th SmartData@PoliTO Workshop – Present and Future Directions
    • DATI, AI E ROBOTICA @POLITO
  • Workshops
    • Seminars
      • Strengthening the IoT Ecosystem: Privacy Preserving IoT Security Management
      • Accelerated Deep Learning via Efficient, Compressed and Managed Communication
      • Toposes as ‘bridges’ for mathematics and artificial intelligence
    • SmartTalks
  • Education
    • Courses for PhD students
    • PhD Course: Topological Data Analysis
    • PhD Course: Data Science for Networks
    • Corporate training on Digital Transformation
  • 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

 

© 2022 SmartData@PoliTO – All rights reserved

Homepage - Privacy - Cookie Policy - Contacts