Volto : Real-time Energy Monitoring

Background
Industrial facilities often lack visibility into real-time electricity consumption. This results in higher operational costs, unexpected power surges, and difficulty identifying inefficiencies. Volto was designed to empower energy-conscious businesses with live monitoring, predictive insights, and actionable alerts.
The Problems
- No centralized dashboard for energy usage across devices
- Lack of forecasting to predict peak hours or abnormal usage
- Manual meter readings prone to delays and errors
- Limited data access for different teams (engineers, managers, QA)
Our Approach
Volto was architected as a modular system using .NET (ASP.NET, SignalR), SQL Server, and modern frontend frameworks. We implemented secure APIs for data ingestion, a real-time WebSocket-based chart dashboard, and role-based access control tailored to different user personas.
Project Showcase

Swipe to preview Volto’s real-time dashboard and forecasting features.
Methodology & Key Features
- ESP32 devices send voltage, current, power factor data over MQTT
- Backend API ingests and stores data securely with JWT authentication
- Real-time dashboards using SignalR and responsive chart updates
- Forecasting using ML models to predict kWh and cost trends
- Anomaly detection to catch unusual power spikes automatically
- Role-based UI: admins, QA, engineers, and guests
Results
After deploying Volto, our industrial client was able to cut electricity costs by over 25% in the first quarter alone. Engineering teams detected faulty equipment early, and management gained real-time visibility into energy use patterns.
Benefits
- Reduce energy costs and carbon footprint
- Enable data-driven maintenance schedules
- Prevent production disruptions from overloads
- Empower teams with live, historical, and predictive insights