Back to projects
Energy analytics and demand response platform
GridShield
GridShield is an energy analytics and demand-response project that analyzes electricity consumption patterns and helps visualize peak demand reduction strategies.
What I built
GridShield is an energy analytics and demand-response project that analyzes electricity consumption patterns and helps visualize peak demand reduction strategies.
Why I built it
Energy teams need approachable ways to understand load behavior, identify peak demand periods, and simulate demand-response strategies.
My role
Implemented the product-style dashboard structure, backend integration approach, analytics flow, and deployment-ready project organization.
How it works
- Next.js frontend presents load curves, peak periods, and summary metrics.
- FastAPI backend exposes analytics and simulation endpoints.
- PostgreSQL stores consumption records and derived metrics.
- GitHub Actions and Docker support consistent build and deployment workflows.
System architecture
- Next.js frontend presents load curves, peak periods, and summary metrics.
- FastAPI backend exposes analytics and simulation endpoints.
- PostgreSQL stores consumption records and derived metrics.
- GitHub Actions and Docker support consistent build and deployment workflows.
Screenshots and demo
Technical challenges
- Turning raw load behavior into understandable decision-support views.
- Separating placeholder analysis from validated energy results.
- Designing dashboards that remain useful on smaller screens.
Results
- 18 to 25% peak demand reduction placeholder, replace with validated result
- Full-stack dashboard implementation
- CI/CD-ready deployment structure
What I learned
- Domain dashboards are strongest when they connect metrics to decisions.
- Clear data modeling matters before visualization polish can pay off.
Explore the code
Explore the code, setup instructions, and technical documentation on GitHub.