SOURCE-LINKED INTELLIGENCE
Renewable Energy Site Selection using Artificial Intelligence and Geographic Information System
Renewable Energy Site Selection using Artificial Intelligence and Geographic Information System The RESSAIG project (Renewable Energy Site Selection using Artificial Intelligence and Geographic Information System) aims to enhance the identification and development of sites for clean renewable energy sources, such as photovoltaic (PV) arrays and both onshore and offshore wind farms. Utilizing a blend of Artificial Intelligence (AI), deep learning, remote sensing data, Geographic Information Systems (GIS), and government datasets, the project seeks to optimize site selection for renewable energy and water desalination necessary for hydrogen production. Amidst the global shift towards sustainable energy solutions to combat climate change, there is an urgent need for more efficient and precise methods for identifying optimal sites for renewable energy installations. Traditional methods often overlook critical environmental, eco
Read original source ↗ Open in workspace
- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 209483.28
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T03:21:21.440Z. This is not the publication date.