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Open Data and Energy Analytics

Author

Listed:
  • Benedetto Nastasi

    (Department of Planning, Design and Technology of Architecture, Sapienza University of Rome, Via Flaminia 72, 00196 Rome, Italy
    Department of Architectural Engineering & Technology, TU Delft University of Technology, Julianalaan 134, 2628BL Delft, The Netherlands)

  • Massimiliano Manfren

    (Faculty of Engineering and Physical Sciences, University of Southampton, Boldrewood Innovation Campus, Burgess Rd, Southampton SO16 7QF, UK)

  • Michel Noussan

    (Fondazione Eni Enrico Mattei, Corso Magenta 63, 20123 Milano, Italy
    Department of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy)

Abstract

This pioneering Special Issue aims at providing the state-of-the-art on open energy data analytics; its availability in the different contexts, i.e., country peculiarities; and at different scales, i.e., building, district, and regional for data-aware planning and policy-making. Ten high-quality papers were published after a demanding peer review process and are commented on in this Editorial.

Suggested Citation

  • Benedetto Nastasi & Massimiliano Manfren & Michel Noussan, 2020. "Open Data and Energy Analytics," Energies, MDPI, vol. 13(9), pages 1-3, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:9:p:2334-:d:355137
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    References listed on IDEAS

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    1. Michiel Fremouw & Annamaria Bagaini & Paolo De Pascali, 2020. "Energy Potential Mapping: Open Data in Support of Urban Transition Planning," Energies, MDPI, vol. 13(5), pages 1-15, March.
    2. Andreas Müller & Marcus Hummel & Lukas Kranzl & Mostafa Fallahnejad & Richard Büchele, 2019. "Open Source Data for Gross Floor Area and Heat Demand Density on the Hectare Level for EU 28," Energies, MDPI, vol. 12(24), pages 1-25, December.
    3. Thiago Gomes Leal Ganhadeiro & Eliane Da Silva Christo & Lidia Angulo Meza & Kelly Alonso Costa & Danilo Pinto Moreira de Souza, 2018. "Evaluation of Energy Distribution Using Network Data Envelopment Analysis and Kohonen Self Organizing Maps," Energies, MDPI, vol. 11(10), pages 1-14, October.
    4. Alexandros Korkovelos & Babak Khavari & Andreas Sahlberg & Mark Howells & Christopher Arderne, 2019. "The Role of Open Access Data in Geospatial Electrification Planning and the Achievement of SDG7. An OnSSET-Based Case Study for Malawi," Energies, MDPI, vol. 12(7), pages 1-36, April.
    5. Giulio Vialetto & Marco Noro, 2019. "Enhancement of a Short-Term Forecasting Method Based on Clustering and kNN: Application to an Industrial Facility Powered by a Cogenerator," Energies, MDPI, vol. 12(23), pages 1-16, November.
    6. Massimiliano Manfren & Benedetto Nastasi, 2020. "Parametric Performance Analysis and Energy Model Calibration Workflow Integration—A Scalable Approach for Buildings," Energies, MDPI, vol. 13(3), pages 1-14, February.
    7. Antonio Attanasio & Marco Savino Piscitelli & Silvia Chiusano & Alfonso Capozzoli & Tania Cerquitelli, 2019. "Towards an Automated, Fast and Interpretable Estimation Model of Heating Energy Demand: A Data-Driven Approach Exploiting Building Energy Certificates," Energies, MDPI, vol. 12(7), pages 1-25, April.
    8. Simon Pezzutto & Silvia Croce & Stefano Zambotti & Lukas Kranzl & Antonio Novelli & Pietro Zambelli, 2019. "Assessment of the Space Heating and Domestic Hot Water Market in Europe—Open Data and Results," Energies, MDPI, vol. 12(9), pages 1-16, May.
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    Cited by:

    1. Manfren, Massimiliano & Nastasi, Benedetto & Groppi, Daniele & Astiaso Garcia, Davide, 2020. "Open data and energy analytics - An analysis of essential information for energy system planning, design and operation," Energy, Elsevier, vol. 213(C).
    2. Benedetta Grassi & Edoardo Alessio Piana & Gian Paolo Beretta & Mariagrazia Pilotelli, 2020. "Dynamic Approach to Evaluate the Effect of Reducing District Heating Temperature on Indoor Thermal Comfort," Energies, MDPI, vol. 14(1), pages 1-25, December.
    3. Henke, Hauke T.J. & Gardumi, Francesco & Howells, Mark, 2022. "The open source electricity Model Base for Europe - An engagement framework for open and transparent European energy modelling," Energy, Elsevier, vol. 239(PA).
    4. Manfren, Massimiliano & Nastasi, Benedetto & Tronchin, Lamberto & Groppi, Daniele & Garcia, Davide Astiaso, 2021. "Techno-economic analysis and energy modelling as a key enablers for smart energy services and technologies in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    5. Hilario J. Torres-Herrera & Alexis Lozano-Medina, 2021. "Methodological Proposal for the Assessment Potential of Pumped Hydropower Energy Storage: Case of Gran Canaria Island," Energies, MDPI, vol. 14(12), pages 1-27, June.
    6. Manfren, Massimiliano & James, Patrick AB. & Tronchin, Lamberto, 2022. "Data-driven building energy modelling – An analysis of the potential for generalisation through interpretable machine learning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    7. Süsser, Diana & Gaschnig, Hannes & Ceglarz, Andrzej & Stavrakas, Vassilis & Flamos, Alexandros & Lilliestam, Johan, 2022. "Better suited or just more complex? On the fit between user needs and modeller-driven improvements of energy system models," Energy, Elsevier, vol. 239(PB).
    8. Song, Yuguang & Chen, Fangjian & Xia, Mingchao & Chen, Qifang, 2022. "The interactive dispatch strategy for thermostatically controlled loads based on the source–load collaborative evolution," Applied Energy, Elsevier, vol. 309(C).
    9. Yongshi Jie & Xianhua Ji & Anzhi Yue & Jingbo Chen & Yupeng Deng & Jing Chen & Yi Zhang, 2020. "Combined Multi-Layer Feature Fusion and Edge Detection Method for Distributed Photovoltaic Power Station Identification," Energies, MDPI, vol. 13(24), pages 1-19, December.
    10. Zhang Deng & Yixing Chen & Xiao Pan & Zhiwen Peng & Jingjing Yang, 2021. "Integrating GIS-Based Point of Interest and Community Boundary Datasets for Urban Building Energy Modeling," Energies, MDPI, vol. 14(4), pages 1-17, February.
    11. Hettinga, Sanne & van ’t Veer, Rein & Boter, Jaap, 2023. "Large scale energy labelling with models: The EU TABULA model versus machine learning with open data," Energy, Elsevier, vol. 264(C).
    12. Kleanthis Koupidis & Charalampos Bratsas & Christos Vlachokostas, 2022. "OpΕnergy: An Intelligent System for Monitoring EU Energy Strategy Using EU Open Data," Energies, MDPI, vol. 15(21), pages 1-15, November.
    13. Markus Fleschutz & Markus Bohlayer & Marco Braun & Michael D. Murphy, 2022. "Demand Response Analysis Framework (DRAF): An Open-Source Multi-Objective Decision Support Tool for Decarbonizing Local Multi-Energy Systems," Sustainability, MDPI, vol. 14(13), pages 1-38, June.
    14. Plazas-Niño, F.A. & Ortiz-Pimiento, N.R. & Montes-Páez, E.G., 2022. "National energy system optimization modelling for decarbonization pathways analysis: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    15. Antonio Moretti & Charalampos Pitas & George Christofi & Emmanuel Bué & Modesto Gabrieli Francescato, 2020. "Grid Integration as a Strategy of Med-TSO in the Mediterranean Area in the Framework of Climate Change and Energy Transition," Energies, MDPI, vol. 13(20), pages 1-22, October.
    16. Dongqing Sun & Fanzhi Wang & Nanxu Chen & Jing Chen, 2021. "The Impacts of Technology Shocks on Sustainable Development from the Perspective of Energy Structure—A DSGE Model Approach," Sustainability, MDPI, vol. 13(15), pages 1-20, August.

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