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Auto characterization of PEDs for digital references towards iterative process optimisation (PED-ACT)

Research project PED-ACT contribute to the standardisation of the database of existing PEDs and to the creation of digital PED references by mapping stakeholders’ needs and priorities in a few cities.

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 a few cities and a county.

Coordinator WP5

Gireesh Nair
Associate professor

Project overview

Project period:

2022-10-01 2025-09-30

Participating departments and units at Umeå University

Department of Applied Physics and Electronics

Research area

Energy engineering

External funding

Swedish Energy Agency

External funding

Latest update: 2023-06-05