WISOGISWISOGIS
B2B SaaS online tool empowering renewable energy developers to choose optimal locations for wind, solar, and hybrid projects
Project Overview
Wisogis generates high-resolution heatmaps describing the Levelized Cost Of Energy (LCOE) anywhere on the globe. This innovative application transforms complex geographical and meteorological data into actionable insights for renewable energy project development.
💡 Key Innovation
Reduced calculation time from 14 hours to under 5 minutes through cloud computing optimization.
My Role & Responsibilities
Architecting and implementing the user interface using React
Integrating KeplerGL for advanced data visualization
Collaborating with backend team for AWS integration
Optimizing performance for large datasets
Implementing user authentication & authorization
Developing custom components for project features
Technical Challenges & Solutions
🔥 Large Dataset Handling
Challenge: Managing several TB of geographic map data without performance issues.
Solution: Implemented efficient data loading and rendering techniques.
🎨 Custom Visualization
Challenge: Creating bespoke LCOE heatmap visualizations.
Solution: Extended KeplerGL capabilities with custom components.
☁️ Cloud Integration
Challenge: Seamless AWS integration with frontend.
Solution: Optimized frontend-backend communication patterns.
Impact & Outcomes
Successfully created a powerful tool that enables renewable energy developers to make data-driven decisions for project locations, significantly reducing time and effort required for site selection.
⚡Tech Stack
🏆Key Achievements
📊Project Status
Currently serving renewable energy developers worldwide