Project cooperationUpdated on 11 September 2025
Expertise Offer for Positive Energy Districts
About
Doğuş Teknoloji can contribute to Positive Energy District (PED) projects with advanced data-driven solutions:
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Development of ML/AI Models
- Doğuş Teknoloji can develop machine learning (ML) and artificial intelligence (AI) models designed to forecast the energy production/consumption balance of Positive Energy Districts (PEDs).
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Scenario-based Predictions
- These models will be capable of predicting the outcomes of various scenarios (e.g., changes in the number of solar panels or electricity-consuming appliances).
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Support for Decision-Making
- The models will enable decision-makers to foresee the potential outcomes of their actions and adjust their plans accordingly, optimizing the energy balance of PEDs.
Topic
- PED topic 2 – Ensuring positive socio-economic impact: PEDs in local economies and energy markets
- PED topic 3 – PEDs in urban heating and cooling strategies
Type
- Looking to join a project
Organisation
Similar opportunities
Project cooperation
- Looking for partners to join a project
- PED topic 2 – Ensuring positive socio-economic impact: PEDs in local economies and energy markets
ELENA GOICOLEA GÜEMEZ
Specialist in sustainability in the built environment. at DAMA energy4all
Madrid, Spain
Project cooperation
AI-driven solutions for Positive Energy Districts and energy communities
- Looking to join a project
- PED topic 3 – PEDs in urban heating and cooling strategies
- PED topic 2 – Ensuring positive socio-economic impact: PEDs in local economies and energy markets
Juan Trullos Pastor
Cofounder & CTO of Zenit at Zenit Solar Tech SL
San Sebastian, Spain
Project cooperation
Looking to join a project in PED topic 3: PEDs in urban heating and cooling strategies
- Looking to join a project
- PED topic 3 – PEDs in urban heating and cooling strategies
Paolo Blecich
Associate Professor at University of Rijeka, Croatia, Faculty of Engineering
Rijeka, Croatia