Xweather Protect
Severe weather monitoring and automated alerts for global operations. Site-specific warnings for lightning, hail, and high winds with all-clear notifications that help teams resume operations with confidence.
Energy and utility infrastructure
Weather intelligence for energy and utilities
Severe weather alerts, hyperlocal forecasts, and real-time lightning data for grid operators, energy producers, gas networks, and telecommunications infrastructure.
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Energy & utility infrastructure
From grid protection to demand optimization
Weather affects every layer of energy and utility operations. Temperature shifts drive heating and cooling demand in ways that generic forecasts miss at the local level. Storms and lightning damage transmission lines, substations, and telecommunications towers. Wind and ice stress cables, poles, and ground equipment across exposed networks.
Xweather provides the intelligence that moves energy operators from reactive to proactive: real-time severe weather alerts that protect infrastructure before conditions escalate, and hyperlocal forecasts that improve demand planning, reduce waste, and lower operating costs.
Severe weather warnings
From substations and transmission lines to oil rigs and wind turbines, the energy and utilities industry is particularly exposed to lightning strikes.
Xweather lightning data and software are trusted across the industry for historical analysis, strike monitoring, and forecasting strike threats.
Weather data and mapping
Weather has a foundational impact on energy producers, utilities, grid operators, and power generators. The Xweather API and mapping products deliver a wide array of environmental data parameters and map layers for any location on Earth.
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Weather intelligence for dynamic line rating
Dynamic line rating (DLR) relies on precise, real-time weather data to safely increase grid capacity and manage congestion. Xweather delivers hyperlocal forecasts for dynamic line rating, with integration into DLR software and grid systems over a secure API.
Hyperlocal temperature forecasts for district heating
Weather is the single biggest factor affecting daily demand for district heating. A more accurate forecast enables district heating companies to improve operational efficiency, lower costs, and reduce waste.
Xweather Optimize delivers hyperlocal forecasts powered by on-site sensors and machine learning, up to 50% more accurate than traditional services.
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40% of Fortune 100 rely on Xweather
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Protection and optimization for energy infrastructure
Weather intelligence creates value for energy and utility infrastructure by protecting critical assets from severe weather and by optimizing operations with precise, local forecasts.
Protect the grid before severe weather strikes
Real-time alerts and lightning data allow teams to pre-position repair crews, protect critical assets, and reduce outage duration
Optimize energy operations with hyperlocal forecasts
Hyperlocal forecasts that are up to 50% more accurate than generic services help operators optimize heating, cooling, and grid input before pressure builds, improving efficiency and protecting margins.
Integrate weather data directly into operational systems
Real-time and historical weather intelligence through a fast, reliable API backed by a proprietary global sensor network with decades of operational use.
Make informed decisions to keep people safe
Automated real-time multichannel alerts and all-clear notifications improve situational awareness and support operational decisions. No need to buy, install, or maintain lightning detection equipment.
User
Transmission operator
Challenge
Static thermal ratings limited transmission capacity based on worst-case assumptions, leaving headroom unused even when conditions allowed safe increases.
Solution
Real-time weather observations and hyperlocal forecasts along transmission corridors, enabling operators to calculate dynamic thermal ratings that reflect actual conductor cooling conditions.
Impact
Higher transmission capacity without new builds
Reduced congestion costs during peak demand
Faster renewable integration on constrained lines
Related products
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Product portfolio
Xweather Optimize
Hyperlocal forecasts for energy-intensive operations, pairing wireless on-site sensors with dedicated machine learning models. Managed sensor deployment and maintenance.
Xweather Observe
Real-time monitoring and observations with quality-controlled data for operations that depend on local weather, air quality, or solar conditions.
Weather API and lightning data
Historical and real-time lightning, hail, and severe weather data for claims validation and forensic analysis. API integration for automated verification workflows.
Product highlight
WeatherDesk: Intelligence trusted by traders and energy operators for four decades
WeatherDesk provides reliable access to global forecasts and observations spanning real-time to seasonal horizons for commodity traders and energy operators.
Natural gas and power trading
Hourly and sub-hourly weather and regional renewable energy forecasts alongside subseasonal outlooks help traders anticipate demand shifts, position ahead of temperature events, and manage exposure across forward curves.
Site-specific wind and solar generation forecasts
Utilities and system operators can manage variability in renewable energy supply with site-specific wind and solar generation forecasts at high temporal resolutions.
Use cases
Fortum: 59% fewer large errors in the 24-hour forecast
Fortum improved district heating forecasting in the Helsinki region with Vaisala Xweather’s hyperlocal, machine learning–powered weather solution.
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Talk to our energy and utilities team
From grid protection to demand optimization, Xweather helps energy and utility operators act earlier and operate more efficiently.
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