Fuzzy Logic-Based Energy Potential Assessment for Hydropower in the Davao Region Using GIS
Document Type
Conference Proceeding
Publication Date
8-7-2025
Abstract
This work integrates fuzzy logic modeling with a Geographic Information System (GIS) based technique to assess the energy potential of hydropower in the Davao Region, Philippines. Multiple geographic datasets—including Digital Elevation Models (DEM), river networks, road proximity, and slope analysis)—are analyzed using QGIS to find ideal sites for hydropower production. By establishing membership functions for important criteria including slope, river proximity, and infrastructure accessibility, the paper uses fuzzy logic to handle uncertainty in site selection. By allowing a disciplined and flexible evaluation system, these fuzzy sets help to reduce data variability and improve decision-making correctness. Fuzzy memberships were defined for slope, river, and road proximity, then combined using rules to classify sites as low, medium, or high potential. The final map was computed using raster logic, producing a conservative and interpretable site classification. Refinements (Maps V1–V3) improved clarity of feasible sites. Matching Industry 4.0 developments in intelligent decision support systems, the resultant hydropower potential map offers insights for sustainable energy planning. Beyond Mindanao and the Philippines, this method offers a scalable framework for regional hydropower development and is especially helpful for surrounding ASEAN countries with comparable natural resources.
Recommended Citation
C. B. Casenas and K. H. A. Recto, "Fuzzy Logic-Based Energy Potential Assessment for Hydropower in the Davao Region Using GIS," 2025 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), Bali, Indonesia, 2025, pp. 318-323, doi: 10.1109/IAICT65714.2025.
