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Daniele Groppi ORCID

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Pastore, Lorenzo Mario / Groppi, Daniele / Feijoo, Felipe (2024): District Heating Deployment and Energy-Saving Measures to Decarbonise the Building Stock in 100% Renewable Energy Systems. In: Buildings, v. 14, n. 8 (23 July 2024).

    https://doi.org/10.3390/buildings14082267

  2. Pompei, Laura / Nardecchia, Fabio / Miliozzi, Adio / Groppi, Daniele / Astiaso Garcia, Davide / de Santoli, Livio (2024): Assessment of the Optimal Energy Generation and Storage Systems to Feed a Districting Heating Network. In: Buildings, v. 14, n. 8 (23 July 2024).

    https://doi.org/10.3390/buildings14082370

  3. Karimi, Hirou / Adibhesami, Mohammad Anvar / Hoseinzadeh, Siamak / Salehi, Ali / Groppi, Daniele / Astiaso Garcia, Davide (2024): Harnessing Deep Learning and Reinforcement Learning Synergy as a Form of Strategic Energy Optimization in Architectural Design: A Case Study in Famagusta, North Cyprus. In: Buildings, v. 14, n. 5 (24 April 2024).

    https://doi.org/10.3390/buildings14051342

  4. Nastasi, Benedetto / Manfren, Massimiliano / Groppi, Daniele / Lamagna, Mario / Mancini, Francesco / Astiaso Garcia, Davide (2022): Data-driven load profile modelling for advanced measurement and verification (M&V) in a fully electrified building. In: Building and Environment, v. 221 (August 2022).

    https://doi.org/10.1016/j.buildenv.2022.109279

  5. Groppi, Daniele / de Santoli, Livio / Cumo, Fabrizio / Astiaso Garcia, Davide (2018): A GIS-based model to assess buildings energy consumption and usable solar energy potential in urban areas. In: Sustainable Cities and Society, v. 40 (July 2018).

    https://doi.org/10.1016/j.scs.2018.05.005

  6. Lamagna, Mario / Nastasi, Benedetto / Groppi, Daniele / Nezhad, Meysam Majidi / Astiaso Garcia, Davide (2020): Hourly energy profile determination technique from monthly energy bills. In: Building Simulation, v. 13, n. 6 (August 2020).

    https://doi.org/10.1007/s12273-020-0698-y

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