Case Studies
Innovation Leading to Success
We put innovation front and center for everything we do, and that includes helping our clients achieve greatness. Read how we help these partners.
Climavision Forecasts Accurately Call for Early June Heatwave Pushing PJM to the Brink
Heatwaves pose a significant financial risk to energy markets by driving up demand and spiking electricity prices. This case study showcases how if leveraged, Climavision’s Horizon AI Point Forecast can help navigate crucial scenarios just like the one right before the start of summer 2024, helping energy providers and grid operators manage demand and avoid costly blackouts.
Climavision Models Accurately Call for Triple Digit ERCOT Heat for the Second Year in a Row.
Weather dependent renewable energy resources like solar and wind energy play a significant role in keeping the market participants comfortably online and AC units pumping out cool air. Click below to read how ERCOT hit record power demand as temperatures soared into the triple digits for much of the Lonestar state in June of 2023 and how Climavision’s GRO and Point Forecasting Solutions are imperative to running an efficient operation that meet customers’ growing energy demands.
How Radar as a Service Empowers Outdoor Venues and Live Events for Severe Weather Defense
Live outdoor events are at the mercy of Mother Nature, which can be dangerous for attendees, a financial risk for those hosting the event, and downright frustrating for decision-makers and patrons alike. Concerts and sporting events attract hundreds of thousands of fans who rely on meteorologists, event safety managers, and radars for insight and protection from the elements. Click the link below to read how Climavision’s Radar-as-a-Service is a critical tool when calling game time shots.
A TEXAS-SIZED PROBLEM COULD HAVE BEEN SOLVED WITH ONE EASY SOLUTION
Click below to read about a situation in Texas where searing heat and little wind combined to almost crash the ERCOT power grid. The event cost the state millions of dollars and could have been avoided entirely if energy traders and power grid operators had added Climavision’s GRO model and/or Point Forecast System to their forecasting tools.