Improved decision-making through better weather forecasts
Energy Forecast and Trading
Accurately predicting energy demand and power output at renewable farms relies heavily on accurate weather forecasts.
Excarta's weather models are fine-tuned for a 48-hour time horizon, perfect for day-ahead and spot trading on the energy market.
Optimizing industrial controls like HVAC setpoints can reduce operating costs, while meeting operational targets like occupant comfort.
An accurate forecast of the day's weather is crucial in optimizing these controls — Excarta's models, fine-tuned for the next 48 hours, are ideally suited for this.
Precise weather forecasts can help farmers identify the best time to spray fertilizer, irrigate crops, or even prepare for events like heatwaves or extreme precipitation.
Excarta's weather models provide high-resolution forecasts for any location, even rural areas that are far from weather stations.
No industry is immune to weather.Schedule a chat to learn how you can start using Excarta's weather prediction.
Better Forecasts through Artificial Intelligence
The limits of conventional forecasts
Conventional weather forecasts — what most companies provide — use numerical models to describe the physics of our atmosphere. These models are not able to caputre the statistical patterns that weather exhibits While powerful, these physical models are expensive, and their cost limits the resolution and accuracy of their forecasts.
Bringing AI to weather
Excarta's deep learning models — built on the foundations of peer-reviewed, state-of-the-art research — analyze decades of weather and climate data to learn statistical patterns about the way weather evolves. By processing decades of weather and climate data, these models identify both global and local weather patterns, and provide best-in-class accuracy in near-term weather forecasts, at a resolution not available from other sources.
Get started today
- Weather Forecast API
- Custom Modeling
Get the latest forecasts via our API for any location around the globe, for up to 96 hours ahead.
The following variables are currently available via the forecast API:
- Temperature at 2m above ground (t2m)
- Wind speed & direction at 10m above ground (u10, v10)
- Wind speed & direction at 100m above ground (u100, v100)
- Surface pressure (sp), and pressure reduced to MSL (msl)
- Temperature at 850hpa and 500hpa
- Humidity at 850hpa and 500hpa
- Wind speeds at 1000hpa, 850hpa, and 500hpa
- Geopotential height at 1000hpa, 850hpa, and 500hpa
For many businesses, weather is a key predictor of business metrics — but using weather inputs in ML models is challenging due to the scale of weather data.
Excarta's infrastructure is fine-tuned to train on terabytes of weather data efficiently. You can benefit from the same data and model training infrastructure to train your own ML models, making your models weather-aware without any of the hassle.
We believe that good weather data can safeguard lives and livelihoods. We're happy to work with you to leverage our insights, and make your business more resilient to weather.
Schedule a chat or fill out the contact form.