Climate Change Solutions
This project develops AI-driven tools to measure, predict, and reduce carbon emissions—helping industries, cities, and communities transition towards cleaner energy and climate resilience.
Project Overview
The Climate Change Solutions initiative is focused on turning climate data into actionable decisions. We combine satellite data, IoT sensors, energy logs, and industry reports to estimate emissions, forecast risks, and recommend interventions that are both impactful and feasible.
Current focus areas include:
- Carbon footprint intelligence for factories, campuses, and city wards.
- Renewable energy planning for solar, wind, and storage deployment.
- Climate risk dashboards for heatwaves, floods, and air quality episodes.
Objectives
- Provide organizations with clear, data-driven visibility into their emissions.
- Identify high-impact interventions for energy efficiency and fuel switching.
- Forecast climate-related risks to support adaptation and resilience planning.
- Build reusable tools that can scale across sectors and geographies.
Tech Stack & Methods
Climate Change Solutions uses a mix of geospatial analytics, ML forecasting, and optimization models.
- Data Sources: Energy meters, sensors, satellite imagery, climate reanalysis data.
- Models: Time-series models for demand, ML-based emission factors, physical + ML hybrids for risk.
- Platform: Cloud-native stack with geospatial layers, dashboards, and APIs.
- Decision Engine: Recommender modules that rank interventions by impact vs. cost.
Real-world Applications
- Energy and emissions dashboards for campuses or industrial estates.
- Solar rooftop and microgrid sizing for buildings and communities.
- Air-quality and heatwave early-warning dashboards for cities.
- What-if scenario analysis for policy and investment planning.
Climate Justice & Policy
The project is designed with equity in mind—highlighting not just emissions, but also who is most vulnerable to climate impacts, so that adaptation and mitigation benefits can be distributed fairly.
Social Plugin