A smart grid manager must balance power loads across a distributed network during heatwaves that drive unpredictable surges in demand. Conventional grid management systems lack localized temperature inputs, resulting in reactive load redistribution and inefficient demand response activation. Without visibility into how heat varies across neighborhoods, substations, and transformer zones, the grid operates with reduced precision and higher vulnerability to overload events.
FortyGuard's Solution
FortyGuard’s Temperature API (starting at $79/month), part of our detailed heat analytics platform, delivers high-resolution, continuous temperature intelligence measured at 2 meters above the ground with 10 m² spatial resolution. By integrating with SCADA and demand-response management systems, smart grid operators can forecast local stress points, adjust distribution proactively, and synchronize with renewable generation patterns influenced by microclimate variability.
Enablement – Supports smarter, data-driven control strategies for next-generation energy systems.
More Energy Case Studies
Energy
Plant / HSE Managers
A plant manager in a refinery or energy facility must ensure worker safety and equipment reliability during peak heat conditions. Existing safety systems monitor temperature inside controlled areas but neglect outdoor heat exposure along pipelines, tanks, and field work...
A data analyst working within a utility or energy infrastructure company must correlate environmental factors with operational performance. However, the datasets available to them are coarse, inconsistent, and fail to capture site-level conditions. This lack of...
.png)
☰.png)
.jpg)
.jpg)
.png)
.png)
.png)
.png)
.png)