SkySpark Distributed Architecture Node — Compact, flexible IoT gateway for straightforward energy monitoring and control.
The T-Star 245 is a compact industrial IoT gateway designed for energy monitoring, building automation, and intelligent edge connectivity. It securely collects data from meters, sensors, and building systems to enable real-time monitoring, analytics, and automated control — without the footprint or cost of a larger edge device.
Supporting ANSI C12-certified metering, Modbus RTU, Modbus TCP, and BACnet/IP, the T-Star 245 integrates with building automation systems, energy meters, and enterprise platforms straight out of the box. Built-in Ethernet, Wi-Fi, and optional cellular connectivity provide reliable communications for both local and remote deployments.
For high-performance microgrid, DER, or VPP deployments, see the T-Star 350.
Ideal for commercial buildings and distributed energy applications, the T-Star 245 helps organizations improve operational efficiency through:
Its RS-485 and RS-232 serial ports handle Modbus RTU and BACnet devices — the protocols most commonly found in energy meters, BAS equipment, and load controllers. The LTE Cat 1 modem keeps remote sites connected without on-site IT infrastructure, while dual Ethernet ports (WAN + LAN) support both uplink and local device networking.
The T-Star 245 connects to SkySpark as a Distributed Architecture Node, meaning energy monitoring and control logic is configured centrally and pushed to the device — no on-site reconfiguration after initial setup.
With support for Project Haystack tagging and on-board dashboards, reporting, and analytics, the T-Star 245 transforms operational data into actionable insights. Paired with Energy Analyst, raw meter data becomes peak demand trends, energy use intensity (EUI), anomaly alerts, and automated reports — whether you manage one site or a multi-site portfolio.
Explore the Intellastar blog for guides, case studies, and practical insights on energy monitoring, grid-edge technology, and the T-Star platform.
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