D1P001: Name of the project |
D1P001: Name of the project
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PED-ACT
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D1P002: Project assigned code |
D1P002: Project assigned code
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43927229
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D1P003: Start date |
D1P003: Start date
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10/22
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D1P004: End date |
D1P004: End date
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09/25
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D1P005: Ongoing project |
D1P005: Ongoing project
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Yes
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D1P006: Funding programme/financing model |
National funding
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National funding
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Swedish Energy Agency
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D1P008: Description of project objectives/concepts |
D1P008: Description of project objectives/concepts
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PED-ACT extracts the main characterization of PEDs automatically by machine learning approaches, through standardisation of the common database for existing PEDs, by focusing on Sweden, Turkey, and Austria. The digital PED references are then generated, based on a multi-criteria characterization matrix, by auto-matching the development needs/priorities from different stakeholders during bilateral learning and co-design processes among four specific cities (Borlänge, Umea, Karsiyaka-Izmir, Ankara) and a county (Lower Austria). PED-ACT finally evaluates the feasibility of these digital PED references to further develop the replication/upscaling plans, towards ‘climate-neutrality and smart cities’ goals.
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D1P009: Description of project upscaling strategies/potential |
D1P009: Description of project upscaling strategies/potential
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PED-ACT deeply learns a wealth of information from the existing PEDs and then maps the practical needs for PED development in local contexts iteratively. There are 4 main tasks that will be useful: (1) co-development of the PED database, (2) characterization of PED using Artificial Intelligence, (3) development of digital models, (4) Co-creation for matrix of PED evaluation.
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D1P010: Number of PED case studies in the project |
D1P010: Number of PED case studies in the project
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5
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D1P012: Description of project expected impact |
D1P012: Description of project expected impact
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- It leads to concrete cooperation from the outset with support of data and involvement of stakeholders. The project results will reinforce decision-making of PEDs and support public administrators/local stakeholders in the new pathways and development.
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D1P014: Sources |
D1P014: Sources
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- https://www.mdpi.com/2075-5309/14/2/371
- https://www.mdpi.com/2075-5309/13/6/1392
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D1P015: Can you specify a suitable contact person regarding the load-management approach within your PED project? |
Name
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Xingxing Zhang
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Email
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xza@du.se
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D1P016: Would you be willing to share data from your PED project for research purposes? |
D1P016: Would you be willing to share data from your PED project for research purposes?
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Yes
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