Managing an EV charging station or building out a charging network? Intellastar’s Energy Analyst is built specifically for you. Purpose-designed tools, tailored visuals, and analytics modules make Energy Analyst the intelligent choice for optimizing EV charging systems at scale. Whether you’re operating a single site or planning a portfolio of chargers, our platform delivers the insights and automation you need to succeed.

EV Charging Systems (EVCS) are only as reliable as the power they receive. Voltage sags, harmonic distortion, or phase imbalances can quietly erode system performance, leading to downtime, maintenance costs, and user frustration. Energy Analyst, combined with the T-Star 350 and approved power quality meters, offers real-time visibility into electrical health at the utility interconnect—identifying and alerting on issues before they impact operations.

The platform’s built-in tariff engine helps you navigate complex utility rate structures, giving you real-time and forecasted cost insights. Whether planning for load shifting or validating your participation in demand response events, Energy Analyst models the real-world impact of every kilowatt-hour.

With edge-level analytics, secure API access, and integration-ready architecture, Energy Analyst supports V2X strategies, predictive maintenance, and scalable load optimization. It turns raw EVCS data into operational and financial performance gains—no matter your network’s size or maturity.

From day-one planning to ongoing system reliability, Energy Analyst is the definitive tool for EV charging infrastructure. It’s time to manage energy smarter—right at the source.

Highlights:

• EV-Specific Analytics: Tailored tools and dashboards built for EV charging station and network operators
• Real-Time Fault Detection: Instantly identifies voltage sags, harmonic distortion, and phase imbalances to reduce downtime
• Power Quality Monitoring: Tracks metrics like THD, power factor, and voltage waveforms at the utility interconnect
• Automated Energy Insights: Visualizes KPIs daily, monthly, and yearly to detect performance degradation
• Edge Intelligence at the Charger: T-Star 350 processes data locally for fast, resilient responses
• Tariff-Based Cost Modeling: Built-in tariff engine provides clear insight into real-time and projected energy costs
• Optimize Load and Demand: Adjusts EV charger setpoints to avoid demand peaks and reduce utility costs
• Supports V2X Use Cases: Measures and verifies energy flow for bi-directional charging strategies