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What is it?
The line forecasting page provides accurate and statistically valid ampacity and temperature forecasts for monitored lines. This allows operators you, as an operator, to regulate the capacity of their power lines safely and efficiently. By In addition, by leveraging the power of forecasts, you, as a user, operators can become more proactive and respond quickly to contingency situations, even before they ever occur.
The forecasting page is designed to provide operators you as an operator with the means to make operational decisions for monitored power lines.
Contents
The Forecasting page consists of two main components:
The forecasting plot contains recent observations about line loading, DLR, and temperature and , together with forecasted values for line capacity and temperature values for the selected time interval.
The Meteogram contains both recent weather observations of weather and forecasted values for the selected time interval for the following parameters.
Ambient temperature (°C)
Precipitation (mm)
Wind speed (m/s)
Wind direction
The line forecasting page offers two separate models.
CIGRE TB 601: Weather-based DLR
IEEE Std 738-2012: Weather-based DLR
A confidence interval of 99 % means that there is a 1 % or less chance of the measured DLR values being below the forecasted value.
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Supported Confidence Intervals
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Supported forecasting intervals
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A third method based on machine learning is under construction—more info to come.
How to use
By setting the desired confidence interval and forecasting period, the user you can easily see your lines' statistically valid ampacity and temperature forecasts for their lines. This can, for example, be used when planning day-ahead operations. By In addition, by operating with respect to the forecasted value for the whole line, the user will use their you as an operator can use the power line to the maximum capacity that doesn’t overload without overloading any of the critical spans.
If the user is When planning a disconnection of a power line, you can use the forecasting feature can be used to investigate if a given power line has the available capacity also to transmit the load of the disconnected line's load. Therefore, the forecasting feature can be an important tool in contingency situations, offering powerful insight.