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Efficient energy transmission

Unlock more transmission capacity from the grid already in place

Efficient Energy Transmission combines hyperlocal weather sensing, predictive models and Dynamic Line Rating to help operators safely increase line capacity and plan power transmission days in advance.

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Increase usable capacity
Use real conditions instead of conservative static assumptions.
Plan ahead
Anticipate line conditions through predictive weather and ampacity models.
Reduce infrastructure pressure
Optimise existing assets before considering major expansion.
THE CHALLENGE

How to increase capacity without risks or high costs?

Energy companies face a significant challenge: the growing electricity demand, driven by sectors such as artificial intelligence and the expansion of renewable energy, forces companies to increase the capacity of their transmission networks to accommodate new energy flows.

 

By 2040, more than 2,000 GW of renewable energy will need to be integrated, requiring an expansion of transmission and distribution networks by between 20% and 65%. However, the required rate of growth is much greater than the expansion capacity of traditional infrastructures, which are costly, slow, and risky.

EMISSIONS

Increase your network capacity by up to 30% without major investments.

Calculation of power line temperature: Most power infrastructure operates at less than half capacity.

PERIMETER

Plan energy transfer with up to 7 days of precision.

Emergence of renewables: Impels stronger, more flexible operations.

CONTEXT

100% autonomous, self-powered, and easy-to-install solution.

Expand capacity without new builds: No need for rapid, lengthy planning periods that typically take years.

Solution architecture

Capture hyperlocal conditions → Alert and support operator decisions

Capture conditions

Sensors installed on towers measure wind, temperature and solar radiation along the line.

Correct forecast

Local data corrects and refines a global weather-forecast system.

Calculate ampacity

Conductor temperature and ampacity are calculated for each span.

Predict capacity

A predictive model forecasts line conditions up to 96 hours in advance.

Support decisions

Operators receive alerts and recommendations to plan transmission safely.

Capture conditions

Sensors installed on towers measure wind, temperature and solar radiation along the line.

Correct forecast

Local data corrects and refines a global weather-forecast system.

Calculate ampacity

Conductor temperature and ampacity are calculated for each span.

Predict capacity

A predictive model forecasts line conditions up to 96 hours in advance.

Support decisions

Operators receive alerts and recommendations to plan transmission safely.

software layer

From the line map to AI/ML predictions

This is where grid360 offers an innovative and efficient solution. Instead of building new networks or undertaking costly expansions, grid360 allows you to optimise your existing infrastructure, increasing its transmission capacity without risk or additional investment. The solution combines high-precision IoT technology and a digital twin of the weather conditions.

Line Map

An interactive, geospatial view of every monitored line

Explore all monitored power lines on a map. Select a line to access its detailed parameters, devices and prediction context.

iris360 map of a monitored power line

Geospatial view of lines and towers; select a line to open its detail.

iris360, powered by Libelium

applies Dynamic Line Rating and predictive grid intelligence to turn line and weather data into transmission capacity insight.

Already have your data?

Connect existing sensors directly to iris360

Deploying iris360 does not require replacing existing hardware or wireless sensors. Our open FIWARE NGSI-LD models, REST and MQTT ingestion pipelines connect directly to legacy devices, giving you unified operational dashboards from day one.

Explore iris360 Platform
Where it applies

Built for power transmission operators

Power Transmission Operators

Dynamic Line Rating for high-voltage transmission networks.

Renewable Integration

Accommodate surges from wind and solar generation plants.

Asset Optimisation

Maximise ampacity before committing capital to new line builds.

Predictive Grid Operation

Forecast transmission bottlenecks up to 96 hours in advance.

Download the white paper

Enhanced Weather Forecast for Dynamic Line Rating

The growing electricity demand forces companies to increase the capacity of their transmission networks to accommodate new energy flows.

  • The hybrid AI architecture that powers real-time weather-corrected forecasts.
  • How hour-by-hour wind speed and direction forecasts improve DLR accuracy.
  • A practical guide to unlocking grid transmission capacity without new infrastructure.
Download White Paper
Deployments running today

Real deployments, real outcomes

Efficient energy transmission

Designed for scalable, interoperable and mission-critical environments.

Build trusted intelligence from the physical world with a technology stack designed for real-world operations.

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