D1P001: Name of the project
D1P001: Name of the project
  PED-ACT
D1P002: Project assigned code
D1P002: Project assigned code
  43927229
D1P003: Start date
D1P003: Start date
  10/22
D1P004: End date
D1P004: End date
  09/25
D1P005: Ongoing project
D1P005: Ongoing project
  Yes
D1P006: Funding programme/financing model
National funding
 

  • National funding

National funding
  Swedish Energy Agency
D1P008: Description of project objectives/concepts
D1P008: Description of project objectives/concepts
  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.
D1P009: Description of project upscaling strategies/potential
D1P009: Description of project upscaling strategies/potential
  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.
D1P010: Number of PED case studies in the project
D1P010: Number of PED case studies in the project
  5
D1P012: Description of project expected impact
D1P012: Description of project expected impact
 

  • 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.

D1P014: Sources
D1P014: Sources
 

  • https://www.mdpi.com/2075-5309/14/2/371
  • https://www.mdpi.com/2075-5309/13/6/1392

D1P015: Can you specify a suitable contact person regarding the load-management approach within your PED project?
Name
  Xingxing Zhang
Email
  xza@du.se
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?
  Yes