GreenWatt Infrastructure, a renewable energy leader expanding into EV fleet charging, faced a pivotal strategic need. With fluctuating EV demands and variable solar generation, their sites often:

• Over-relied on the grid during peak hours, driving up costs and negating some of their sustainability value.
• Had no system to predictively route surplus solar energy to charging loads, missing out on clear OPEX savings.
• Lacked a way to visualize or quantify how smart energy orchestration could support future vehicle-to-grid (V2G) pilots.

Their vision was to create an intelligent orchestration platform that blends solar generation with EV charging loads, reducing reliance on grid energy and future-proofing operations for advanced energy markets. They turned to ThoughtWin IT Solutions for our deep skillset in real-time IoT telemetry, predictive AI demand modeling, and dynamic load orchestration.

• Unified Telemetry Pipelines: Developed pipelines using MQTT + REST to ingest multi-vendor inverter and charger data into TimescaleDB.
• Demand Forecasting Models: Python models forecast EV charging demand vs solar supply, optimizing when to defer to grid.
• Load Orchestration: Node.js orchestration microservice directed real-time load diversion, reducing grid pulls.
• Visualization Dashboards: ReactJS dashboards visualized live energy flows, cost avoidance, and demand forecasts.
• Cost-efficient Infrastructure: AWS ECS with spot instance fallback saved ~30% infra costs while handling fleet arrival surges.

• Stateless Orchestrators: Ensured load microservices could restart instantly under node failures or EV fleet spikes, with no local state risking corruption.
• Event Sourcing Layer: Built energy decisions to be replayable, helping compliance and feeding ML retraining for improved demand forecasts.
• Spot Instance Auto-fallback: Saved ~30% infra costs by using spot EC2s with seamless transition to on-demand under heavy load, essential for unpredictable EV fleet traffic.

Designed React dashboards giving energy managers live flows of solar production, battery state, charger demand, and grid import costs, all on a single screen. Included a “cost avoidance tracker” that calculated savings by comparing optimized flows vs grid-only scenarios — helping justify future CAPEX expansions. Added forecast overlays showing when upcoming demand peaks were likely, enabling preemptive pricing or scheduling adjustments for large fleet charges.

• Reduced grid dependency by 40% at critical hours through optimized energy flows.
• Justified CAPEX expansions with clear cost avoidance metrics.
• Positioned GreenWatt for future vehicle-to-grid (V2G) pilots with a scalable platform.