75F Building Automation
AI-enabled building automation combining connected sensors, controllers, and cloud operation.
Pricing to verifyCustom quote; amount unconfirmed
Productivity & Research
enercast PFS
AI and physical-model generation forecasts for wind and solar sites.
What it does
enercast PFS forecasts power from individual renewable plants or parks using technical site data, historical measurements, operational inputs, and weather models. Its IPL platform adds data cleaning, forecast analysis, configuration, and machine-to-machine delivery.
Who it is for
Wind and solar operators integrating site forecasts into trading and grid processes.
What stands out
- Site forecasts from 15 minutes through 31 days ahead
- AI and physical models using up to ten weather models
- Portal, API, email, and FTP forecast delivery
Limitations to consider
- PFS site forecasts differ from PFA area and SEF small-PV products.
- Delivery resolution and included options require a scoped proposal.
Integrations & connections
Tasks it can help with
Sources & verification
This profile is based on vendor documentation, checked Oct 22, 2026. It is not a hands-on review or a performance benchmark. Unknown details are marked explicitly.
PFS, IPL, input requirements, horizons, and product distinctionsCurrent site-specific AI approach and trial routeProposal and commercial contactSuggest a correction