MODERATE Workshop and round table on “High-Quality Measurements to Deliver Data-Driven Services” at Metrology for Living Environment, Milan, May 2023

The workshop was held on Tuesday, May 30 2023 in cooperation with our sister project DigiBUILD.

Here below we report the programme and the minutes of the event. 

Session 3.2- Towards the digital built environment: high-quality measurements to deliver data-driven services- Part III 

Chairs: Gian Marco Revel, Università Politecnica delle Marche, Italy; Serena Serroni, Università Politecnica delle Marche, Italy 

Round Table- Partecipants: 

DigiBUILD: Gian Marco Revel, Serena Serroni, Nicole Morresi, Vittoria Cipollone [UNIVPM]; Tancredi Testasecca, Lorenzo Cristofori [Università degli Studi di Palermo- ENG]; Elissaios Sarmas [NTUA]; Jose L. Hernandez [CARTIF]. 

MODERATE: Philipp Mascherbauer [TU Vienna] 

Philipp provided an introduction to the MODERATE project, offering a general overview of data-driven services, the methodology involved, and the generation and utilization of synthetic data. 

Points of Discussion: 

  • Lack of awareness of data by the data provider: There exists a gap between users and technical developers, with technical partners often struggling to interpret the provided data. As a result, the data analysis process becomes time-consuming and requires significant effort.
  • Synthetic data generation: To generate synthetic data, it is necessary to collect real data as a basis for training the model. Synthetic data can be generated to reflect daily, monthly, or seasonal patterns.
  • Overcoming privacy concerns: Synthetic data can address privacy issues as it is impossible to trace the origin of real data from synthetic data sets.
  • Application of synthetic data in Digital Twin: Synthetic data can be employed to create preliminary scenarios within the Digital Twin framework and compare them with the Digital Twin implemented using real-time data.
  • Incorporating noise in synthetic data: Synthetic data should include noise since real data is inherently noisy. Algorithms cannot be fed with perfect data.
  • Exploitation involving buyers and data providers: The process of data exploitation involves collaboration between both buyers and data providers.

Potential Collaboration between DigiBUILD and MODERATE and the Next Steps: 

Considering that VEOLIA is a partner in both projects (DigiBUILD and MODERATE), we could: 

  • Using the VEOLIA Pilot as a use case, the collaboration aims to leverage real data from DigiBUILD to obtain synthetic data from MODERATE for District Heating Network (DHN) optimization and forecasting.
  • It is proposed to schedule a meeting with the project coordinators before the summer break to discuss and plan further collaboration and project integration.


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